Embedded Systems Engineer Jobs in Jordan

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Syarah Syarah is one of the leading automotive e-commerce platforms in Saudi Arabia, transforming the way people buy, sell, finance, and own vehicles.<br> Through technology, data, and innovative financial solutions, Syarah delivers a seamless customer experience while building scalable systems that support rapid business growth across sales, operations, finance, and customer engagement.<br> About the Role We are looking for an experienced Engineering Manager – ERP &amp; CRM to lead the development, strategy, and delivery of the systems that power Syarah's core business operations.<br> In this role, you will manage a team of backend engineers, drive the technical direction of our ERPNext/Frappe and CRM platforms, and ensure reliable, scalable solutions that support sales, finance, inventory, and customer operations.<br> This is both a technical and people leadership role.<br> You will be responsible for setting team goals and OKRs, mentoring engineers, managing performance, and partnering closely with business stakeholders to translate company objectives into impactful engineering outcomes.<br> The ideal candidate combines strong engineering expertise with a proven ability to build and lead high-performing teams in a fast-paced environment.<br> Key Responsibilities Lead, manage, and grow a team of backend engineers working across Python (Frappe/ERPNext) and PHP, owning team structure, hiring, and onboarding.<br> Own the strategy, roadmap, and delivery of Syarah’s ERP and CRM platforms, the systems that run sales, finance, inventory, operations, and customer engagement.<br> Set clear team and individual goals through OKRs, aligning day-to-day engineering execution with broader company objectives and tracking measurable outcomes.<br> Run performance management end to end, including regular 1:1s, structured feedback, performance reviews, growth plans, and recognition.<br> Mentor and develop engineers at every level, deepening technical skills, ownership, and a culture of accountability and continuous improvement.<br> Translate company goals into a clear engineering roadmap, and be accountable for the team delivering against it on time and to a high standard.<br> Define and enforce engineering standards across code quality, architecture, testing, security, and documentation for ERP and CRM systems.<br> Own the technical direction of ERPNext/Frappe customizations, modules, and integrations, and of PHP-based CRM and internal business applications.<br> Lead the design and delivery of integrations connecting ERP, CRM, payments, and other operational and data systems across the business.<br> Partner with finance, operations, sales, and product stakeholders to capture requirements and translate them into well-scoped, prioritized engineering work.<br> Drive healthy delivery practices, including sprint planning, estimation, code review, CI/CD, and release management, to ship reliably and predictably.<br> Own reliability, uptime, and incident response for business-critical ERP and CRM platforms, putting in place monitoring, alerting, and on-call practices.<br> Manage technical debt, scalability, and platform evolution, balancing short-term delivery against long-term maintainability and cost.<br> Report progress, risks, trade-offs, and resourcing needs clearly to senior leadership, and represent the ERP and CRM engineering function across the company.<br> What We’re Looking For Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering.<br> against company objectives.<br> Strong hands-on background in backend engineering with Python and PHP, ideally including ERPNext/Frappe and modern PHP frameworks.<br> Solid understanding of ERP and CRM systems, business process automation, and integrations across finance, sales, and operations.<br> Experience with API design, databases, CI/CD, and cloud infrastructure, and a strong bar for code quality, security, and reliability.<br> Excellent stakeholder management and communication skills, with the ability to translate business goals into engineering execution.<br> Preferred Experience Hands-on experience with other major ERP systems such as SAP, Odoo, or Oracle Experience with sales lead generation and workflow automation within CRM platforms Exposure to AI and agentic AI, with an interest in applying it across ERP, CRM, and internal operations, is a strong plus Tech Stack Languages &amp; Frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL ERP &amp; CRM: ERPNext, CRM platforms, custom business applications Databases &amp; Caching: MongoDB / MySQL, Redis Integration: REST APIs, webhooks, message queues DevOps &amp; Deployment: Docker, Git, CI/CD Cloud &amp; Infrastructure: AWS, GCP Ways of Working: Agile / Scrum, OKRs, code review, performance management 8+ years of software engineering experience, including 3+ years in an engineering management role Strong hands-on experience with Python and PHP development Experience with ERPNext/Frappe or other ERP platforms (SAP, Odoo, Oracle, etc.<br>) Solid understanding of CRM systems, business process automation, and enterprise integrations Proven experience leading engineering teams, setting OKRs, and managing performance and career development Experience with APIs, databases, cloud infrastructure, CI/CD, and DevOps practices Strong stakeholder management and communication skills Experience in e-commerce, fintech, or high-growth technology environments is a plus</span> </div>

<p>Join Haskoning and contribute to transformative engineering initiatives that support sustainable development across the globe. With over 140 years of experience and a presence in more than 20 countries, we offer a dynamic environment where innovation, collaboration, and professional growth are central to our mission.</p><p>As a Multi-disciplinary design Engineer, you will play a pivotal role in the detailed design of multi-disciplinary infrastructure works. Your responsibilities will include developing coordinated design deliverables across electrical, mechanical, instrumentation, and control systems for industrial projects. The role focuses on producing accurate, constructible, and fully coordinated designs, drawings and layouts in close collaboration with lead design engineers and other disciplines.</p><p>Project Context : Haskoning is engaged in multiple projects at the Arab Potash Corporation (APC), which involves critical infrastructure works in the Dead Sea Area. The design Engineer will be supporting the design team, coordinating with other disciplines, and ensuring consistency across all project phases.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Prepare multidisciplinary design deliverables in accordance with project specifications, applicable codes, and standards</li><li>Coordinate layouts and interfaces between electrical, mechanical, civil, structural, and process disciplines</li><li>Support constructability, safety, and maintainability through design</li><li>Ensure drawing quality, consistency, and adherence to project CAD/BIM standards</li><li>Participate in design reviews, model reviews, and coordination meetings</li></ul><p>Specific discipline requirements</p><p>Electrical Design</p><ul><li>Develop layouts for LV/MV systems, including:</li><li>Power distribution</li><li>MCCs, switchgear, transformers</li><li>Cable routing and containment (trays, ladders, conduits)</li><li>Earthing and lightning protection systems</li><li>Prepare single-line diagrams, load layouts, and equipment arrangement drawings</li><li>Coordinate electrical room layouts and access/clearance requirements</li></ul><p>Mechanical Design</p><ul><li>Prepare layouts for mechanical equipment such as:</li><li>Pumps, motors, compressors, valves</li><li>Skids, pipework, supports, and access platforms</li><li>Develop general arrangement (GA) drawings and mechanical layouts</li><li>Coordinate mechanical interfaces with electrical and instrumentation systems</li><li>Incorporate installation, maintenance, and lifting requirements into designs</li></ul><p>Instrumentation &amp; Control Design</p><ul><li>Develop instrumentation layouts, including:</li><li>Field instruments, panels, and junction boxes</li><li>Instrument tubing and impulse lines</li><li>Analyzer shelters and instrument air systems</li><li>Prepare cable and tubing routing layouts</li><li>Assist with I/O layouts, control panel arrangements, and interface diagrams</li><li>Coordinate with control systems engineers for PLC/SCADA-related layouts</li></ul><p>Coordination &amp; Documentation</p><ul><li>Ensure clash-free and coordinated designs across all EMI&amp;C discipline</li><li>Support preparation of:</li><li>Layout drawings</li><li>Section details</li><li>Typical installation details</li><li>Incorporate comments from engineering reviews, HAZOPs, and constructability reviews</li><li>Assist in preparation of as-built drawings</li></ul><p>Working Hours: Six days per week (Friday off), with compensation aligned to workload and responsibilities.</p><p>Where you will work</p><p>We are an international organisation that makes a positive impact in our world by crafting top-notch solutions. Backed by the expertise of over 6,000 colleagues working from offices in more than 20 countries, and with more than 140 years of experience, we help clients with challenges ranging from climate change and digital transformation to changing customer demands and the energy transition.</p><p><strong>Desired Candidate Profile</strong></p>Bachelor s degree in Electrical, Mechanical, Instrumentation Engineering, or related technical discipline, Master degree is preferred Minimum 10 years of experience in industrial or infrastructure projects Proven experience working on multidisciplinary EMI&amp;C designs Experience in EPC or consultant environments is an advantage Attention to detail and ability to manage multiple tasks Excellent skills with MS Office suite Good communication skills and a collaborative approach to working with multidisciplinary and cultural teams Professionally skilled in english Familiarity with international standards (e.g., BS, DIN, ASTM, IEEE, IEC, API, ISO) Start Date: as soon as possible You must be currently based in Jordan or the surrounding Dead Sea region. Due to project requirements, candidates must be available to work on-site and align with the local working schedule and time zone.

<p><h4>About the opportunity</h4> <p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p> <p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p> <p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p> <h4>Role overview</h4> <p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p> <p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p> <p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p> <p>At the senior level, you will:</p> <ul> <li>Own AI product features from concept through production</li> <li>Build and optimize RAG pipelines and agent-based systems</li> <li>Develop backend services and modern user interfaces</li> <li>Make sound technical and product decisions</li> <li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li> </ul> <h4>Key responsibilities</h4> <p><strong>End-to-end AI product development</strong></p> <ul> <li>Design and build AI-powered assistants, copilots, and automation tools</li> <li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li> <li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li> <li>Build reusable AI components and integration libraries for multiple products</li> </ul> <p><strong>Full-stack engineering</strong></p> <ul> <li>Build React and Next.js interfaces with streaming responses and conversational experiences</li> <li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li> <li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li> <li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li> </ul> <p><strong>Product ownership & engineering excellence</strong></p> <ul> <li>Evaluate product requirements and ensure solutions solve the right problems</li> <li>Optimize systems for reliability, latency, and user trust</li> <li>Document technical decisions and architecture clearly</li> <li>Mentor engineers and contribute to engineering best practices</li> </ul> <h4>Basic qualifications</h4> <ul> <li>7+ years of software engineering experience</li> <li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li> <li>Strong proficiency in Python and experience building LLM-powered systems</li> <li>Solid React fundamentals, including state management, accessibility, and performance</li> <li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li> <li>Working knowledge of PostgreSQL and relational schema design</li> <li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Strong system design, testing, debugging, and performance optimization skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li> <li>Experience designing streaming APIs with SSE or WebSockets</li> <li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li> <li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li> <li>Familiarity with vector databases such as Qdrant or pgvector</li> <li>Experience working in government, public sector, financial services, or other regulated environments</li> </ul> <h4>Technology stack</h4> <ul> <li>Frontend: React, Next.js, Tailwind CSS</li> <li>Backend: Python, Java, Kotlin, Node.js</li> <li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li> <li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li> <li>Observability: Langfuse, Grafana</li> <li>Infrastructure: Docker, Azure, CI/CD pipelines</li> <li>AI development: Codex, Claude Code, OpenCode</li> </ul> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Takes ownership across the full product lifecycle</li> <li>Balances technical depth with strong product judgment</li> <li>Builds AI products that users trust in production</li> <li>Makes evidence-based decisions</li> <li>Communicates clearly and proactively</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p> <p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>

<p><h4>About the opportunity</h4> <p>We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs.</p> <p>This organisation is creating AI-powered products and platforms that will transform public services across the Emirate. The work spans retrieval systems, agent-based workflows, sovereign AI infrastructure, and production-grade applications that must operate securely, reliably, and at scale.</p> <p>This is an opportunity to build highly impactful AI products used in real-world government environments where quality, trust, and operational excellence are essential.</p> <h4>Role overview</h4> <p>We are looking for a senior AI product engineer to own the end-to-end delivery of AI-powered products.</p> <p>You will design and build the retrieval pipelines and agent workflows that power intelligent applications, the backend services that support them, and the user interfaces that deliver value to end users. This role combines applied AI engineering with strong product judgment.</p> <p>You should be comfortable working across the full stack—from Python-based AI systems and APIs to React frontends—and accountable for how your products perform in production.</p> <p>At the senior level, you will:</p> <ul> <li>Own AI product features from concept through production</li> <li>Build and optimize RAG pipelines and agent-based systems</li> <li>Develop backend services and modern user interfaces</li> <li>Make sound technical and product decisions</li> <li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li> </ul> <h4>Key responsibilities</h4> <p><strong>End-to-end AI product development</strong></p> <ul> <li>Design and build AI-powered assistants, copilots, and automation tools</li> <li>Architect retrieval-augmented generation (RAG) pipelines, including ingestion, embeddings, vector search, and reranking</li> <li>Develop agent-based workflows with tool use, planning, and multi-step reasoning</li> <li>Build reusable AI components and integration libraries for multiple products</li> </ul> <p><strong>Full-stack engineering</strong></p> <ul> <li>Build React and Next.js interfaces with streaming responses and conversational experiences</li> <li>Develop backend APIs and services in Python, Java/Kotlin, or Node.js</li> <li>Work with PostgreSQL, Redis, DocumentDB, Azure Blob Storage, and vector databases such as pgvector or Qdrant</li> <li>Instrument AI systems using Langfuse and Grafana for tracing and observability</li> </ul> <p><strong>Product ownership & engineering excellence</strong></p> <ul> <li>Evaluate product requirements and ensure solutions solve the right problems</li> <li>Optimize systems for reliability, latency, and user trust</li> <li>Document technical decisions and architecture clearly</li> <li>Mentor engineers and contribute to engineering best practices</li> </ul> <h4>Basic qualifications</h4> <ul> <li>7+ years of software engineering experience</li> <li>Proven experience shipping end-to-end product features across AI, backend, and frontend layers</li> <li>Strong proficiency in Python and experience building LLM-powered systems</li> <li>Solid React fundamentals, including state management, accessibility, and performance</li> <li>Experience building production APIs in Python, Java/Kotlin, or Node.js</li> <li>Working knowledge of PostgreSQL and relational schema design</li> <li>Understanding of common LLM production challenges such as hallucination, latency, and context degradation</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Strong system design, testing, debugging, and performance optimization skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, or CrewAI</li> <li>Experience designing streaming APIs with SSE or WebSockets</li> <li>Strong familiarity with Next.js, Tailwind CSS, TanStack Query, and Zustand</li> <li>Experience deploying AI applications on Azure using Docker and CI/CD pipelines</li> <li>Familiarity with vector databases such as Qdrant or pgvector</li> <li>Experience working in government, public sector, financial services, or other regulated environments</li> </ul> <h4>Technology stack</h4> <ul> <li>Frontend: React, Next.js, Tailwind CSS</li> <li>Backend: Python, Java, Kotlin, Node.js</li> <li>AI & LLM: LangChain, LangGraph, Microsoft Agent Framework, vector databases, OCR, ASR, TTS</li> <li>Data: PostgreSQL, Redis, DocumentDB, Azure Blob Storage</li> <li>Observability: Langfuse, Grafana</li> <li>Infrastructure: Docker, Azure, CI/CD pipelines</li> <li>AI development: Codex, Claude Code, OpenCode</li> </ul> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Takes ownership across the full product lifecycle</li> <li>Balances technical depth with strong product judgment</li> <li>Builds AI products that users trust in production</li> <li>Makes evidence-based decisions</li> <li>Communicates clearly and proactively</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This is an opportunity to help shape the future of AI-powered public services in Abu Dhabi.</p> <p>You’ll work on meaningful products with real-world impact, solving complex challenges in applied AI, product engineering, and large-scale deployment.</p></p><p></p>

<p>The Senior Automation Quality Assurance (QA) Engineer is responsible for ensuring the delivery of high-quality software solutions through the design, development, and execution of comprehensive automated testing strategies. This role involves designing and maintaining robust automation frameworks, defining automation standards and best practices, integrating automated testing into CI/CD pipelines, identifying and resolving defects, and collaborating closely with development and product teams to ensure system reliability, performance, security, and compliance with business requirements. The Senior Automation QA Engineer also provides technical guidance and mentorship to QA team members and contributes to the continuous improvement of QA automation processes, tools, and practices across projects.</p><p><strong>Main Activities and Responsibilities:</strong></p><ul><li>Design, develop, maintain, and execute automated tests for web, API, and mobile applications.</li><li>Develop and maintain scalable and reusable test automation frameworks and standards.</li><li>Define automation strategies and identify appropriate scenarios for automation based on business and technical requirements.</li><li>Integrate automated testing into CI/CD pipelines and support continuous testing and automated quality gates.</li><li>Perform functional, regression, integration, API, and end-to-end testing.</li><li>Leverage AI and AI-powered tools for test case generation, test automation, defect analysis, test data generation, and improving QA efficiency.</li><li>Validate AI-generated test cases, scripts, data, and results to ensure accuracy and reliability.</li><li>Analyze test failures, investigate defects, and perform root-cause analysis in collaboration with Development and Product teams.</li><li>Review requirements and acceptance criteria to identify quality risks and testability issues early.</li><li>Monitor and improve automation coverage, stability, execution time, and maintainability.</li><li>Contribute to QA standards, processes, and continuous improvement initiatives.</li><li>Mentor and provide technical guidance to other QA engineers.</li><li>Participate in Agile ceremonies and support release readiness activities.</li><li>Any other duties that are requested and relevant to the role.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Skills &amp; Experience:</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or another related discipline</li><li>5+ years of experience in Software QA/Testing, with strong hands-on experience in test automation.</li><li>Previous experience in FinTech, financial services, online trading, brokerage, banking, payments, or another regulated financial technology environment.</li><li>Strong programming skills in Java, C#, Python, JavaScript, or TypeScript.</li><li>Hands-on experience with automation tools such as Selenium, Playwright, or Cypress.</li><li>Strong experience in API testing and automation.</li><li>Experience with CI/CD, Git, SQL, and test management/defect tracking tools such as Jira, TestRail, or Xray.</li><li>Good understanding of SDLC, STLC, Agile/Scrum, and QA best practices.</li><li>Practical experience using AI tools within the QA/testing lifecycle with an understanding of their capabilities and limitations.</li><li>Strong analytical, troubleshooting, and root-cause analysis skills.</li><li>Experience testing complex systems, integrations, financial transactions, or real-time data.</li><li>Strong communication and collaboration skills, with the ability to mentor other QA engineers.</li><li>ISTQB or relevant QA certification is considered an advantage.</li><li>Excellent command of English both written and spoken - Knowledge of additional languages will be considered an advantage.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b><br> About the Role </b><p>We are looking for an experienced Engineering Manager ERP &amp; CRM to lead the development, strategy, and delivery of the systems that power Syarah's core business operations. In this role, you will manage a team of backend engineers, drive the technical direction of our ERPNext/Frappe and CRM platforms, and ensure reliable, scalable solutions that support sales, finance, inventory, and customer operations.</p> <p>This is both a technical and people leadership role. You will be responsible for setting team goals and OKRs, mentoring engineers, managing performance, and partnering closely with business stakeholders to translate company objectives into impactful engineering outcomes. The ideal candidate combines strong engineering expertise with a proven ability to build and lead high-performing teams in a fast-paced environment.</p> <p> </p> <strong>Key Responsibilities</strong> <ul> <li>Lead, manage, and grow a team of backend engineers working across Python (Frappe/ERPNext) and PHP, owning team structure, hiring, and onboarding.</li> <li>Own the strategy, roadmap, and delivery of Syarah s ERP and CRM platforms, the systems that run sales, finance, inventory, operations, and customer engagement.</li> <li>Set clear team and individual goals through OKRs, aligning day-to-day engineering execution with broader company objectives and tracking measurable outcomes.</li> <li>Run performance management end to end, including regular 1:1s, structured feedback, performance reviews, growth plans, and recognition.</li> <li>Mentor and develop engineers at every level, deepening technical skills, ownership, and a culture of accountability and continuous improvement.</li> <li>Translate company goals into a clear engineering roadmap, and be accountable for the team delivering against it on time and to a high standard.</li> <li>Define and enforce engineering standards across code quality, architecture, testing, security, and documentation for ERP and CRM systems.</li> <li>Own the technical direction of ERPNext/Frappe customizations, modules, and integrations, and of PHP-based CRM and internal business applications.</li> <li>Lead the design and delivery of integrations connecting ERP, CRM, payments, and other operational and data systems across the business.</li> <li>Partner with finance, operations, sales, and product stakeholders to capture requirements and translate them into well-scoped, prioritized engineering work.</li> <li>Drive healthy delivery practices, including sprint planning, estimation, code review, CI/CD, and release management, to ship reliably and predictably.</li> <li>Own reliability, uptime, and incident response for business-critical ERP and CRM platforms, putting in place monitoring, alerting, and on-call practices.</li> <li>Manage technical debt, scalability, and platform evolution, balancing short-term delivery against long-term maintainability and cost.</li> <li>Report progress, risks, trade-offs, and resourcing needs clearly to senior leadership, and represent the ERP and CRM engineering function across the company.</li> </ul> <p> </p> <p> <strong>What We re Looking For</strong> </p> <ul> <li>Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering.</li> <li>against company objectives.</li> <li>Strong hands-on background in backend engineering with Python and PHP, ideally including ERPNext/Frappe and modern PHP frameworks.</li> <li>Solid understanding of ERP and CRM systems, business process automation, and integrations across finance, sales, and operations.</li> <li>Experience with API design, databases, CI/CD, and cloud infrastructure, and a strong bar for code quality, security, and reliability.</li> <li>Excellent stakeholder management and communication skills, with the ability to translate business goals into engineering execution.</li> </ul> <p> </p> <p> <strong>Preferred Experience</strong> </p> <ul> <li>Hands-on experience with other major ERP systems such as SAP, Odoo, or Oracle</li> <li>Experience with sales lead generation and workflow automation within CRM platforms</li> <li>Exposure to AI and agentic AI, with an interest in applying it across ERP, CRM, and internal operations, is a strong plus</li> </ul> <p> </p> <p> <strong>Tech Stack</strong> </p> <ul> <li>Languages &amp; Frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL</li> <li>ERP &amp; CRM: ERPNext, CRM platforms, custom business applications</li> <li>Databases &amp; Caching: MongoDB / MySQL, Redis</li> <li>Integration: REST APIs, webhooks, message queues</li> <li>DevOps &amp; Deployment: Docker, Git, CI/CD</li> <li>Cloud &amp; Infrastructure: AWS, GCP</li> <li>Ways of Working: Agile / Scrum, OKRs, code review, performance management</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> </p> <ul> <li>8+ years of software engineering experience, including 3+ years in an engineering management role</li> <li>Strong hands-on experience with Python and PHP development</li> <li>Experience with ERPNext/Frappe or other ERP platforms (SAP, Odoo, Oracle, etc.)</li> <li>Solid understanding of CRM systems, business process automation, and enterprise integrations</li> <li>Proven experience leading engineering teams, setting OKRs, and managing performance and career development</li> <li>Experience with APIs, databases, cloud infrastructure, CI/CD, and DevOps practices</li> <li>Strong stakeholder management and communication skills</li> <li>Experience in e-commerce, fintech, or high-growth technology environments is a plus</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>As a Senior Software Engineer, you will be at the forefront of developing cutting-edge software solutions that drive our business forward. This role is not just about writing code; it involves architecting and implementing robust systems that are vital for our clients' success. You will collaborate closely with a diverse team of talented engineers, designers, and product managers to build scalable applications using technologies like C#, .NET, and ASP.NET Core. Your expertise will help shape our product offerings and ensure they meet the highest standards of quality and performance.</p><p>Your role will also encompass mentoring junior developers and fostering a culture of continuous improvement within the team. By sharing your knowledge in areas such as Clean Architecture, Domain-Driven Design, and REST APIs, you will help elevate the team's skill set and contribute to a collaborative work environment. This position allows you to have a significant impact on project outcomes, as you will be involved in all phases of the software development lifecycle, from design to deployment and beyond.</p><p>We prioritize your professional growth and development. As a Senior Software Engineer, you will have access to ongoing training opportunities and resources to enhance your skills in technologies such as Angular, TypeScript, SQL Server, and Azure DevOps. We believe in nurturing talent and providing pathways for career progression, ensuring that your journey with us is fulfilling and aligned with your career aspirations. Join our innovative team and help us push the boundaries of technology while making a meaningful impact.</p><ol><li><b>Responsibilities:</b>Lead backend development efforts using C#, .NET, and ASP.NET Core to create scalable and efficient applications that meet client requirements and industry standards.</li><li>Develop dynamic frontend solutions using Angular and TypeScript, ensuring a seamless user experience that enhances customer satisfaction.</li><li>Design and implement complex enterprise data models in SQL Server, optimizing data retrieval and storage for performance and scalability.</li><li>Apply Clean Architecture and Domain-Driven Design principles to ensure maintainable and extensible software solutions that align with business goals.</li><li>Implement role-based access control and secure coding practices to protect sensitive data and ensure compliance with industry regulations.</li><li>Conduct unit and integration testing, utilizing debugging tools to identify and resolve issues, thereby ensuring the reliability and performance of applications.</li><li>Participate in code reviews to maintain high coding standards and foster a culture of quality within the engineering team.</li><li>Utilize Git for version control and Azure DevOps for CI/CD processes, streamlining the development workflow and enhancing collaboration.</li><li>Develop workflow-driven enterprise applications that include notifications and document handling features, improving operational efficiency and user engagement.</li></ol> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><ul><li>Proficiency in C#, .NET, and ASP.NET Core is essential for backend development of high-performance applications.</li><li>Expertise in Angular and TypeScript is crucial for creating dynamic and responsive frontend solutions.</li><li>Strong understanding of SQL Server and complex enterprise data models enhances data management capabilities.</li><li>Knowledge of Clean Architecture and Domain-Driven Design principles ensures the development of maintainable software systems.</li><li>Familiarity with REST APIs and system integrations is vital for building scalable and interoperable applications.</li><li>Experience with unit and integration testing, along with debugging techniques, is important for ensuring software quality.</li><li>Ability to utilize Git and Azure DevOps for effective version control and continuous integration practices is essential.</li><li> strong ownership, problem solving, communication, and the ability to deliver high quality work under strict timelines.</li></ul></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>Company Description<br><br><p>Join a hotel that is a member of the Accor network, whose group brings together more than 45 brands, 5,500 hotels, 10,000 restaurants and lifestyle destinations. Here, we believe in you and what you bring to the table. There are many opportunities for development and advancement. Every gesture, every smile, every action, contributes to creating a positive and memorable impact for our customers, our colleagues and also for our planet. Together, we embody the vision of responsible hospitality.</p><br><p>Take the opportunity to become a Heartist®, and let your heart guide you in this world where life beats faster.</p><br><br>Job Description<br><br><p><strong>Job Summary:</strong></p><br><p>The Chief Engineer at Movenpick Resort Petra Jordan is responsible for the overall supervision, management, and leadership of the engineering department. This role ensures the smooth operation of all hotel facilities, including mechanical, electrical, plumbing, and HVAC systems. The Chief Engineer plays a crucial role in maintaining the hotel’s safety standards, managing energy efficiency, and providing a high level of service to both internal and external guests.</p><br><p><strong>Key Responsibilities:</strong></p><br><ol><li><p><strong>Leadership and Team Management:</strong></p><br><ul><li>Lead and supervise the engineering team, including recruiting, training, and developing staff to maintain a highly skilled and motivated team.</li><li>Assign tasks, manage shifts, and oversee daily operations of the engineering department.</li><li>Provide technical expertise and support for maintenance staff.</li></ul></li><li><p><strong>Maintenance and Operations:</strong></p><br><ul><li>Oversee all maintenance programs, preventive maintenance, and repairs for all hotel equipment, including HVAC, electrical, plumbing, and fire safety systems.</li><li>Ensure that all hotel facilities and systems are functioning efficiently and in compliance with safety and regulatory standards.</li><li>Manage day-to-day operational issues, ensuring quick and efficient problem resolution to minimize downtime and guest inconvenience.</li></ul></li><li><p><strong>Budget and Financial Management:</strong></p><br><ul><li>Prepare and manage the department's budget, including controlling costs related to maintenance, energy consumption, and capital expenditures.</li><li>Ensure proper inventory control of parts and supplies, as well as efficient energy and water management to optimize operational expenses.</li><li>Monitor and analyze energy consumption, looking for cost-saving opportunities.</li></ul></li><li><p><strong>Health, Safety, and Compliance:</strong></p><br><ul><li>Ensure all building systems comply with health and safety regulations, including fire safety systems, emergency lighting, and building security.</li><li>Oversee regular safety inspections and ensure compliance with all local, national, and international standards and regulations.</li><li>Act as the key contact during emergencies and ensure the safety of guests and employees.</li></ul></li><li><p><strong>Capital Projects and Renovations:</strong></p><br><ul><li>Oversee engineering aspects of capital projects, renovations, and upgrades within the hotel, ensuring work is completed on time and within budget.</li><li>Collaborate with external contractors and service providers as needed for large-scale projects and technical services.</li></ul></li><li><p><strong>Collaboration with Other Departments:</strong></p><br><ul><li>Work closely with the housekeeping, front office, and food &amp; beverage departments to ensure all guest areas and back-of-house operations are in optimal condition.</li><li>Assist in setting up rooms, conference facilities, and event spaces when engineering support is needed.</li><li>Provide timely communication and status updates on engineering tasks to hotel management.</li></ul></li><li><p><strong>Sustainability and Environmental Initiatives:</strong></p><br><ul><li>Develop and implement energy conservation and sustainability initiatives to reduce the hotel's environmental impact.</li><li>Collaborate with the management team on environmental sustainability efforts, ensuring alignment with the hotel's corporate responsibility policies.</li></ul></li></ol><br>Qualifications<br><br><p><strong>Qualifications:</strong></p><br><ul><li>Bachelor's degree in Mechanical, Electrical, Civil Engineering, or a related field.</li><li>7+ years of experience in hotel engineering or facilities management, with at least 3 years in a senior engineering leadership role.</li><li>Strong technical knowledge of building systems, including HVAC, electrical, plumbing, and fire safety.</li><li>Experience in budgeting, project management, and contractor management.</li><li>Excellent leadership, communication, and problem-solving skills.</li><li>Knowledge of sustainability practices and energy management systems is preferred.</li><li>Familiarity with local regulations, building codes, and safety standards.</li></ul><p><strong>Competencies:</strong></p><br><ul><li>Strong leadership and team management capabilities.</li><li>Analytical and detail-oriented with excellent organizational skills.</li><li>Ability to work under pressure and manage multiple priorities.</li><li>Strong communication and interpersonal skills.</li><li>Proficiency in relevant software and systems, including BMS (Building Management Systems).</li></ul><br>Additional Information<br><br><p>Your team and working environment:<br>In 1-2 sentences, introduce the team, property or office environment in a way that reflects the culture<br>Note: Customization may be included for any specific local or legislative requirements, such as work permits<br>Our commitment to Diversity &amp; Inclusion:<br>We are an inclusive company and our ambition is to attract, recruit and promote diverse talent.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>1- Administrative and Leadership Supervision:</b></p><p>• Lead and direct the warehouse team (Warehouse Keeper, Assistants) while assigning daily tasks and evaluating their performance regularly.</p><p>• Implement OHSAS/ISO safety and health standards within the warehouses to ensure a safe and organized working environment.</p><p><br></p><p><b>2- Inventory Management:</b></p><p>• Strictly monitor the movement of technical inventory (spare parts, tools, industrial equipment) through documented processes (receiving, issuing, returning, inter-warehouse transfers).</p><p>• Design and implement an advanced Barcoding/Coding System that ensures 100% accuracy and quick access to items.</p><p>• Plan and oversee all types of stocktaking (surprise stocktaking, quarterly stocktaking, and annual comprehensive stocktaking) and reconcile with the records.</p><p><br></p><p><b>3- Strategic Planning and Supply Chain:</b></p><p>• Continuously monitor inventory levels and identify critical stock transactions: safety stock limits, maximum limits, and reorder points to prevent excess or shortage.</p><p>• Conduct regular meetings and coordinate with the maintenance manager and technical engineers to understand preventive and corrective maintenance plans, ensuring critical parts are secured in advance to prevent production line stoppages.</p><p>• Prepare and validate technical purchase requests based on actual needs and consumption patterns, and coordinate with the procurement department to ensure timely delivery (JIT).</p><p><br></p><p><b>4- Technical Inspection and Quality:</b></p><p>• Review and inspect incoming shipments upon arrival, reading catalogs and technical specifications to ensure compliance with purchase orders before signing for receipt.</p><p>• Manage and track requirements and specifications related to defective or non-compliant items with the procurement department and suppliers.</p><p><br></p><p><b>5- Reporting and Data Analysis:</b></p><p>• Professionally work on ERP Systems and database warehouses to update inventory records promptly.</p><p>• Prepare and submit regular reports to senior management including: inventory movement report, slow-moving items report, dead stock report, actual consumption analysis, and variance analysis.</p><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><br></p><ul><li>Proficient in data analysis using Microsoft Excel.</li><li>Strong leadership personality capable of managing individuals and resolving conflicts under work pressure.</li><li>Negotiation and persuasion skills.</li><li>Strong observation and auditing capabilities.</li><li>Ability to work under pressure.</li></ul></div>

<p>1. JOB DETAILS:</p><p>Job Title: Analyst, ML Engineer</p><p>Reports to: Sr. Manager, IT Digital Platforms &amp; Digital Transformation</p><p>Department: IT Applications</p><p>Function: IT Applications</p><p>Company: Hikma Holding</p><p>2. JOB PURPOSE:</p><p>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers team, this role provides hands-on ML engineering support across the solution lifecycle from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</p><p>3. JOB DIMENSIONS:</p><p>Number of Staff Supervised: Direct Reports Count: 0 (0 vacant)</p><p>Indirect Reports Count: N/A</p><p>Financial Budget (USD): Supports AI initiative delivery under team supervision</p><p>4. KEY ACCOUNTABILITIES:</p><p>ML Model Development &amp; Experimentation</p><ul><li>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</li><li>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</li><li>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</li><li>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</li><li>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</li><li>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</li></ul><p>Data Engineering &amp; Feature Development</p><ul><li>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</li><li>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</li><li>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</li><li>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</li></ul><p>ML-Ops &amp; Production Support</p><ul><li>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</li><li>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</li><li>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</li><li>Maintain accurate records in model registries including versioning and change logs across AI initiatives</li><li>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</li></ul><p>Quality Assurance &amp; Testing</p><ul><li>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</li><li>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</li><li>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</li><li>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</li></ul><p>5. Behavioural Competencies:</p><p>Initiative &amp; Drive for Results - Very Good</p><p>Change &amp; Innovation - Very Good</p><p>Communication &amp; Influence - Good</p><p>Developing &amp; Empowering others - Good</p><p>Problem Solving &amp; decision Making - Excellent</p><p>Strategic Thinking - Good</p><p>6. Technical Competencies:</p><p>ML Model Development &amp; Experimentation - Good</p><p>Python &amp; ML Frameworks (PyTorch, TensorFlow, scikit-learn, HuggingFace) - Good</p><p>MLOps &amp; Model Lifecycle Tooling - Good</p><p>Data Engineering &amp; Pipeline Support - Good</p><p>Cloud AI/ML Services (Azure ML) - Good</p><p>Generative AI &amp; LLM Development (RAG, LangChain, Semantic Kernel) - Very Good</p><p>Model Explainability &amp; Responsible AI Awareness - Very Good</p><p>Containerization &amp; CI/CD Basics (Docker, Git, Azure DevOps) - Good</p><p>7. COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</p><p>Internal: AI Champions Network, AI Architect, AI Developer, Data &amp; Analytics Team</p><p>External: AI/ML Vendors &amp; Solution Providers, Implementation Partners, Open Source &amp; Developer Communities</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field *(Required)*</li><li>Master's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science *(Preferred)*</li><li>Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer certification *(Preferred)*</li><li>Relevant ML/AI certifications (e.g., DeepLearning.AI ML Specialization, Databricks ML Associate, fast.ai) *(Preferred)*</li><li>0-1 year of professional experience in software development, data science, machine learning, or a related technical field (fresh graduates are welcome to apply)</li><li>Demonstrated hands-on experience with ML model development through academic projects, internships, capstone projects, hackathons, or personal projects</li><li>Familiarity with cloud AI/ML platforms (Azure, AWS, or GCP) gained through coursework, self-study, or practical experimentation *(Preferred)*</li><li>Any exposure to generative AI, LLM tools, or RAG concepts through academic or personal projects *(Preferred)*</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry exposure *(Preferred but not expected)*</li><li>Working knowledge of Python and foundational ML/DL libraries including scikit-learn, pandas, NumPy, and at least one deep learning framework</li><li>Practical exposure to training and evaluating ML models including classical machine learning and at least one of: NLP, computer vision, or time-series analysis through academic, personal, or internship projects</li><li>Basic familiarity with generative AI concepts including Large Language Models, prompt engineering, and RAG principles *(Preferred)*</li><li>Awareness of ML-Ops concepts and tools such as ML-flow or Azure Machine Learning for experiment tracking and model management *(Preferred)*</li><li>Basic experience with data preparation, cleaning, transformation, and exploratory data analysis using Python</li><li>Familiarity with version control using Git and basic software development practices including code reviews and testing</li><li>Basic understanding of cloud platforms (Azure, AWS, or GCP) and awareness of cloud-based AI/ML services *(Preferred)*</li><li>Familiarity with containerization concepts (Docker) and CI/CD basics *(Preferred)*</li><li>Awareness of responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security practices relevant to ML development</li><li>Any familiarity with pharmaceutical business processes or GxP compliance in a technology context is a plus *(Preferred)*</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced IT Governance Security &amp; Resilience to join our team and play a key role in strengthening the Bank's IT governance, cybersecurity, and operational resilience capabilities. In this role, you will serve as the primary IT liaison for security and resilience matters, working closely with the Cybersecurity Department to ensure that IT operations, systems, projects, and processes comply with security standards, regulatory requirements, and industry best practices. Key Responsibilities Collaborate with the Cybersecurity Department to implement security policies, standards, and controls across IT systems and infrastructure. Ensure IT operations, projects, and technology changes comply with governance frameworks such as ISO 27001 , NIST Cybersecurity Framework (NIST CSF) , COBIT , and applicable banking regulations. Translate cybersecurity requirements into effective IT governance processes, procedures, and operational guidelines. Coordinate security and risk assessments for all IT projects, system changes, and technology deployments as part of the Bank's governance and change management processes. Govern the IT risk management process by identifying, assessing, monitoring, reporting, and mitigating IT risks in alignment with Enterprise Risk Management (ERM) practices. Monitor the Bank's IT risk posture and ensure timely remediation of security vulnerabilities, compliance issues, audit findings, and control gaps. Lead the governance of IT Business Continuity and Disaster Recovery (BC/DR), ensuring critical IT services have documented, tested, and continuously improved recovery capabilities. Coordinate IT audits, regulatory inspections, and compliance reviews while maintaining governance documentation, policies, standards, and procedures. Prepare regular reports and dashboards on IT security posture, risk exposure, compliance status, resilience readiness, and governance metrics for senior management and governance committees. Support IT incident response activities in coordination with the Cybersecurity Department, including incident escalation, communication, post-incident reviews, and tracking corrective and preventive actions. Promote a strong culture of security awareness, governance, compliance, and operational resilience across IT teams.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Information Technology, Computer Science, Information Security, or a related field. Proven experience in IT Governance, Information Security, IT Risk Management, IT Audit, or Operational Resilience , preferably within the banking or financial services sector. Strong knowledge of ISO 27001 , NIST CSF , COBIT , IT risk management, business continuity, disaster recovery, and regulatory compliance. Excellent analytical, communication, stakeholder management, and reporting skills. Professional certifications such as CISA, CRISC, CGEIT, CISSP, or ISO 27001 Lead Implementer/Auditor are considered an advantage.</p><p></p></section>

<p><h4>Description</h4> <p>DeepSource Technologies is looking for a senior cloud infrastructure engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p> <h4>Key responsibilities:</h4> <ul> <li>Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li> <li>Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li> <li>Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li> <li>Ensure compliance with security best practices and governance policies in cloud environments.</li> <li>Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li> <li>Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li> <li>Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li> <li>Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li> <li>Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li> <li>Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li> <li>Strong understanding of networking, security, and compliance in cloud environments.</li> <li>Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li> <li>Good communication skills and ability to work in a dynamic team environment.</li> </ul> <h4>Benefits</h4> <p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p> <ul> <li>Global mobility: full coverage of visa costs and airline tickets (round trip).</li> <li>Medical insurance.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>DeepSource Technologies is looking for a senior cloud infrastructure engineer specializing in Google Cloud Platform (GCP) to join our Riyadh, KSA team. In this senior role, you will design, implement, and manage scalable and secure cloud infrastructure solutions on GCP to support our dynamic business needs. You will collaborate closely with development, security, and operations teams to ensure high availability, performance, and cost-efficiency of cloud services.</p> <h4>Key responsibilities:</h4> <ul> <li>Design and implement GCP-based infrastructure solutions including compute, storage, networking, and security services.</li> <li>Manage and optimize cloud resources with a focus on performance, scalability, and cost.</li> <li>Lead infrastructure automation initiatives using Infrastructure as Code (IaC) tools like Terraform and Deployment Manager.</li> <li>Ensure compliance with security best practices and governance policies in cloud environments.</li> <li>Monitor cloud infrastructure and troubleshoot issues to maintain high uptime and reliability.</li> <li>Collaborate with DevOps and development teams to support CI/CD pipelines and cloud-native applications.</li> <li>Stay up-to-date with latest GCP technologies and provide recommendations for cloud adoption and improvement.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of experience in cloud infrastructure engineering, specifically with Google Cloud Platform.</li> <li>Strong knowledge of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Cloud Networking, Cloud IAM, and BigQuery.</li> <li>Experience with Infrastructure as Code tools like Terraform, Deployment Manager, or similar.</li> <li>Proficient with containerization and orchestration technologies such as Docker and Kubernetes.</li> <li>Strong understanding of networking, security, and compliance in cloud environments.</li> <li>Experience with monitoring and logging tools such as Stackdriver, Prometheus, or Grafana.</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Certification such as Google Cloud Professional Cloud Architect or Professional Cloud Engineer is preferred.</li> <li>Good communication skills and ability to work in a dynamic team environment.</li> </ul> <h4>Benefits</h4> <p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:</p> <ul> <li>Global mobility: full coverage of visa costs and airline tickets (round trip).</li> <li>Medical insurance.</li> </ul></p><p></p>

<p><h4>Description<\/h4>\n<p>TheSoul Group is a global media company with over a decade of experience building and operating digital businesses at scale. With a presence across 60 platforms, content distributed in 21 languages, and more than 100 billion monthly views, we have established one of the largest and most operationally sophisticated media footprints in the world. Our remote-first team, spanning 85+ countries, has grown by solving \u2014 at real scale \u2014 the exact organisational and operational challenges most companies struggle with.<\/p>\n<p>That operational depth is the foundation of Valis \u2014 TheSoul Group's brand new business and AI platform for enterprise transformation. Valis is an institutional AI operating layer for mid-market organisations (roughly 200\u20132,000 employees). It sits across a company's systems, runs one shared, org-wide \"brain\" on everything the company knows, and applies encoded operator judgment on every answer \u2014 so the value of AI compounds for the company, not just for individuals using per-seat chatbots.<\/p>\n<p>Valis is already proven in production \u2014 built from real transformation work, encoding operational experience rather than theory \u2014 and we are now scaling its deployment to mid-market companies worldwide.<\/p>\n<p>We are seeking a Client Deployment Lead, AI to embed on-site alongside mid-market CEOs and make their AI-native transformation real on the ground. You work as a tight pod: you on-site owning the CEO relationship and the result and you drive the rollout to a finance-verified outcome, with elite remote engineers shipping the product configuration behind you. Every CEO who watches you land the transformation becomes the proof that wins the next one. This role is the engine of our go-to-market.<\/p>\n<h4>Responsibilities<\/h4>\n<ul>\n<li>Own the client-CEO relationship and the executive steering committee \u2014 as a peer, with real decision rights.<\/li>\n<li>Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.<\/li>\n<li>Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).<\/li>\n<li>Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.<\/li>\n<li>Be personally accountable for a finance-verified outcome the client can see in their P&L.<\/li>\n<li>Build a portfolio of 2\u20133 marquee CEO accounts as each engagement matures.<\/li>\n<li>Own end-to-end rollout management \u2014 from kick-off through adoption, sign-off, and handover \u2014 ensuring every phase lands on time and to a measurable outcome.<\/li>\n<li>Codify the method after each deployment so the next one requires less ramp-up.<\/li>\n<\/ul>\n<h4>Requirements<\/h4>\n<ul>\n<li>A track record of owning real outcomes \u2014 you have moved a P&L or shipped a transformation, not just advised on one.<\/li>\n<li>CEO-room presence: ability to sit across from a mid-market CEO as a peer and earn organisational trust quickly.<\/li>\n<li>Technically literate enough to prototype, spec work, and direct engineers \u2014 you shape the solution, you don't wait for one.<\/li>\n<li>You thrive in ambiguity \u2014 operating effectively with incomplete information, shifting requirements, and no fixed playbook.<\/li>\n<li>Willing and energised to be on-site with clients (~30\u201360% travel).<\/li>\n<li>Likely background: top-tier strategy firm (Engagement Manager \u2013 Associate Partner) or a proven in-house transformation operator.<\/li>\n<li>Hands-on experience with AI \/ data tooling is a strong plus.<\/li>\n<\/ul>\n<h4>Benefits<\/h4>\n<ul>\n<li>Compensation: A competitive base calibrated to your market and seniority, plus a performance bonus tied to delivered outcomes.<\/li>\n<li>Equity: Meaningful, founder-tier ownership \u2014 this is the real upside, and it's sized to match.<\/li>\n<li>Authority: Real decision rights and an interim-executive mandate inside the client where granted. You own the result.<\/li>\n<li>Trajectory: A portfolio of marquee CEO relationships and a clear path to Regional GM for MENA.<\/li>\n<li>Location: On-site with the client during deployment (~30\u201360% travel across the MENA region); your home base is flexible.<\/li>\n<\/ul>\n<p><strong>Why AI makes this seat more valuable, not less:<\/strong> Valis automates the coordination, reporting and status layer of a company. This role sits on the other side of that line: CEO trust, judgment under ambiguity, and accountability for a real outcome are exactly what don't automate. As the platform gets stronger, the seat compounds in leverage \u2014 it doesn't erode.<\/p>\n<p>We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.<\/p><\/p><p><\/p>

<p>In 2025, the Agency launched the Sustainable Management and Resource Efficient Transformation (UNRWA SMART) project to accelerate the transition toward low-carbon operations. This initiative is aligned with the operational objectives of the Agency s Environmental Sustainability Policy (ESP), Environmental and Social Management Framework (ESMF), and encompasses environmental mainstreaming, improved energy monitoring, enhanced energy efficiency, climate action and the integration of renewable energy at Agency installations across its fields of operation. The SMART Project has developed a comprehensive Learning and Development (L&amp;D) workstream on environmental sustainability and now enters a critical transition phase from design and development to implementation, scaling, and institutionalization. To these ends, the present consultancy is designed to ensure that: Environmental sustainability training translates into behavior change, Staff are able to better perform in real operations, ESP and ESMF requirements are understood and instituted, and Sustainability becomes embedded in UNRWA systems, structures, procedures and decision-making.</p><p><strong>Objectives:</strong></p><p>UNRWA seeks to appoint a Consultant equivalent to the P3 level for a period of 12 months to:</p><ul><li>Operationalize and deliver a six-module training programme across relevant staff groups;</li><li>Lead the rollout and implementation of the Environmental Sustainability Training Framework;</li><li>Strengthen behavioral change and the practical application of sustainability practices;</li><li>Expand eLearning and blended learning systems;</li><li>Support the establishment of a comprehensive Monitoring, Evaluation, and Learning (MEL) system;</li><li>Institutionalize sustainability learning within HR systems and organizational processes;</li><li>Build a sustainable Training of Trainers (ToT) system;</li><li>Support the development and delivery of technical and operational sustainability learning programmes across key functional areas such as fleet management, procurement, infrastructure management, travel, human resources, and other Agency functions as required.</li></ul><p>UNRWA s increased in-house capacity will be measured by completion rates of training courses and through surveys measuring changes in the awareness and engagement of Agency staff.</p><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications/special skills</h2><p>Advanced university degree (Master or equivalent) from an accredited educational institution in: (i) engineering, environmental sustainability, renewable energy, energy management, or a related technical field (ii) adult learning, instructional design, or related disciplines with demonstrated experience delivering technical training in engineering or environmental sustainability contexts. In either case, an initial degree (bachelor or equivalent) plus two additional years of experience may be accepted in lieu of a post-graduate degree.</p><p>At least five years of progressively responsible experience in technical programme delivery incorporating training, capacity-building, or knowledge-transfer components, with a strong emphasis on practical training in engineering, energy, or environmental sustainability, including at least two years of experience related to environmental sustainability and renewable systems.</p><p>At least two years of relevant international experience outside of the candidate s home country, country of which the candidate has citizenship, or a country in which the candidate maintains permanent residence.</p><p>Demonstrated experience delivering hands-on, field-oriented training for technical staff, including the facilitation of practical exercises, on-site or applied learning sessions, and the use of real-world case studies and operational scenarios.</p><p>Sound knowledge of environmental sustainability and engineering concepts, including climate change, energy efficiency, natural resource management, circular economy, pollution prevention, waste minimization, sustainable procurement, and environmental reporting frameworks, with the ability to link these concepts to practical field applications.</p><p>Strong facilitation and communication skills, with the ability to engage diverse audiences, particularly technical and field-based staff.</p><p>Experience in delivering training linked to infrastructure projects, energy audits, or renewable energy installations is highly desirable.</p><h2>Languages</h2><p>Excellent oral and written communication skills in Arabic are highly desirable.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who Are We❓ We Are Foodics!<br> a leading restaurant management ecosystem and payment tech provider.<br> Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait.<br> We are currently serving customers and partners in over 35 different countries worldwide.<br> Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far!<br> making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region.<br> Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.<br> About the role We are growing our engineering team and are looking for a technically strong Engineering Manager to lead one of our delivery teams.<br> This is a delivery-focused leadership role: your job is to turn a cross-functional roadmap into shipped, high-quality software on a predictable cadence, while providing the technical insight and guidance needed to keep delivery pragmatic, reliable, and well-executed.<br> The team has two clear areas of ownership.<br> First, the Hotels domain, the guest-facing and hotel-operations features that serve our enterprise hotel customers, from in-room and on-property ordering through to stay-management and guest-services capabilities.<br> Second, third-party integrations such as POS's (Point of Sale), PMS (Property Management System), payment gateways, and loyalty connections that the Hotels business depends on, where you own the technical relationship end-to-end.<br> You own the throughput, quality, and getting integration-heavy work delivered efficiently.<br> This role reports to the Engineering Director.<br> Your mission You own the delivery health of your squad end-to-end.<br> You take a mixed backlog of integration, platform, and product work and ship it predictably, at high quality, with the dependencies managed and the risks surfaced early.<br> Key responsibilities Manage a team of full stack engineers, actively drive their growth, performance, and engagement.<br> Mobile engineers are a possibility as well.<br> Turn quarterly roadmaps into a realistic delivery plan, track progress, and report status with metrics against company goals.<br> Run tight agile processes and continuously improve them based on delivery metrics.<br> Manage dependencies across different domains, with external integration partners, escalating and resolving blockers early (e.<br>g. with POS systems etc.<br>). Review RFCs and technical proposals, providing feedback on design, scalability, security, and integration risk, and helping the team converge on sound decisions before things enter a delivery commitment.<br> Lead technical discussions with third-party integration partners, translating between partner APIs and constraints and wi-Q's architecture, and owning the technical feasibility view in those conversations.<br> Improve engineering process and delivery metrics (for example cycle time, deployment frequency, change-failure rate, and defect escape rate), and use them to drive decisions.<br> Uphold security and compliance obligations relevant to the team's work (e.<br>g. PCI DSS etc.<br>), embedding them into how the squad builds rather than treating them as an afterthought.<br> Draft and track team OKRs and engineering KPIs (e.<br>g. DORA); when the team is off track, show what is being done about it.<br> Coordinate across Product, Customer Success, DevOps, and the Foodics counterparts to deliver shared goals.<br> What success looks like (first 6-12 months) The team has a predictable delivery cadence, with sprint and quarterly commitments met at a consistent and improving hit rate.<br> Cross-team and third-party dependencies are visible and managed early, so the squad is rarely blocked and rarely blocks others.<br> Release quality is measurably higher: fewer escaped defects and a faster, safer path from merge to production.<br> Delivery from the team contributes directly to improving TTV for new customer go-lives and to protecting NRR through platform stability.<br> The team is fully staffed, ramped, and retained, with a clear working model and a healthy engagement signal.<br> Product, Commercial, and Customer Success stakeholders trust the team's estimates, status, and risk flags.<br> Your skills Demonstrated experience managing a team of software engineers, with a track record of delivering on commitments predictably.<br> Strong command of agile and lean delivery practices (sprints, kanban, estimation, refinement) and the maturity to adapt process to context rather than apply it dogmatically.<br> Proven ability to manage dependencies and coordinate delivery across multiple teams and external partners.<br> Technically strong: able to review RFCs and technical proposals critically, reason about architecture, scalability, and integration risk, scope engineering spikes, and hold your own in technical discussions with engineers and third-party partners.<br> Fluency with delivery and quality metrics, and the discipline to lead with data over anecdote.<br> Excellent written and verbal communication in English; able to lead with the conclusion, be concise, and be specific about blockers and decisions needed.<br> Ability to translate technical concepts into easily digestible language for non-technical business stakeholders.<br> Experience operating in multi-market or multi-region environments, ideally with distributed and remote teams.<br> Comfortable in a fast-moving scale-up where priorities shift and ambiguity is normal.<br> Nice-to-haves Experience in B2B SaaS with high-volume B2C traffic patterns.<br> Background in hospitality-tech, food and beverage, payments, or last-mile delivery.<br> Working knowledge of our stack: Google Cloud Platform (GCP), Kubernetes, GitHub, PHP/Symfony, NodeJS, Typescript, and a mobile stack (Capacitor, Ionic, or React Native).<br> Familiarity with integrating third-party systems (POS, PMS, payment gateways, delivery aggregators) and the reliability challenges they bring.<br> Experience hiring and scaling engineering teams in the MENA region.<br> BSc or MSc degree (or equivalent experience).<br> What we offer Curated career progression planning with formal yearly reviews and informal check-ins along the way.<br> Encouragement to grow into a Feature Development Lead.<br> A competitive salary.<br> Ample time to learn new concepts - including paid development and business-related conferences.<br> Fully remote working, no commuting expenses.<br> Flexible work hours.<br> We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.<br> 25 days holiday (plus bank holidays), with an additional day per year of service.<br> Regular all-company socials and quarterly team socials.<br> A team that genuinely likes learning and shipping together.<br></span> </div>

<p>1. JOB DETAILS Field Detail Job Title Manager, Data Analysis Reports to Director, Data &amp; Analytics Department Information Technology Function Enterprise Technology, Data &amp; AI Company Hikma Pharmaceuticals</p><p>2. JOB PURPOSE The Manager, Data Analysis is a hands-on role accountable for the dashboards, reports, and analytical models that Hikma's business functions rely on for decision-making. Working within the roadmap, standards, and platform architecture set by the Director, Data &amp; Analytics, the role owns day-to-day delivery on the Enterprise Analytics platform, remaining directly involved at working level in data modelling, measure development, performance tuning, refresh schedules, and access controls. The role is expected to go beyond fulfilling requests: engaging business function leads proactively, shaping and agreeing requirements before build, investigating why results occur rather than only reporting what happened, and presenting recommendations stakeholders can act on. It sets the data modelling and reporting standards followed across the business, including by analysts embedded within business functions, and is the direct source of reporting for functions without a dedicated analyst. The role also leads a small team of analysts and BI specialists, reviewing their work, developing their technical capability, and acting as the primary point of contact between the business and the Data &amp; Analytics team.</p><p>3. JOB DIMENSIONS Direct Reports Count 2 3 Indirect Reports Count N/A Financial Budget (USD) N/A (subject to D&amp;A budget)</p><p>4. KEY ACCOUNTABILITIES Strategy &amp; Standards Deliver against the Enterprise Analytics/BI roadmap set by the Director, Data &amp; Analytics, translating it into planned dashboard and report delivery Define and maintain reusable data models, reporting standards, naming conventions, and report layouts for use by all analysts, including those embedded in business functions Co-own the definition of key business metrics and KPIs with the data governance function to ensure consistency across the reporting estate Support budget forecasts and cycle health checks in line with Hikma financial standards Business Engagement Build ongoing relationships with business function leads, moving beyond a request-response model to become a trusted analytics partner Meet regularly with stakeholders to understand business priorities, pain points, and upcoming needs before they become formal reporting requests Gather, document, and agree business requirements before build, including the business problem, objectives, data sources, calculation logic, scope, and success criteria Present insights and recommendations to business stakeholders, not only dashboards or reports, so outputs support clear decision-making Promote adoption of BI outputs and support improved data literacy across business functions Policies &amp; Procedures Apply and enforce BI development standards (naming, versioning, source documentation) set by the Director, Data &amp; Analytics Operate within the data governance framework and escalate gaps in data quality, access, or documentation Follow Enterprise Applications and D&amp;A Centre of Excellence policies and procedures Apply company policy and contractual best practice when working with BI tooling vendors and implementation partners People Management and Development Manage, coach, and mentor a small team of Analysts/BI Specialists, onboarding new joiners and building capability in data modelling, DAX, and dashboard design Set yearly objectives and development plans for each team member, covering company, career, and technical development goals Identify high-potential team members and develop them in partnership with the Director Day-to-Day Operations Triage incoming data and reporting requests and assign them to the right team member based on complexity and data domain Identify new sources of data within the organisation (ERP, CRM, manufacturing systems) and escalate integration needs to the Director Apply row-level security, access controls, and data privacy requirements so the right people see the right data Run design and peer reviews of team-produced data models, DAX measures, and dashboards before release to business users Track and report team KPIs (delivery turnaround, ticket volume, adoption, service quality) on a regular cadence Job Related (Specific Accountabilities) Build, maintain, and optimise Power BI datasets, data models, and DAX measures within the Enterprise Analytics platform, under the Director's design authority Perform configuration and change management for assigned reporting areas (Power BI workspaces, gateways, datasets) Automate data refresh, distribution, and alerting within the existing Power BI platform</p><p>5. Behavioural Competencies: Name Level Initiative &amp; Drive for Results Very Good Change &amp; Innovation Very Good Communication &amp; Influence Excellent Developing &amp; Empowering others Very Good Problem Solving &amp; decision Making Excellent Strategic Thinking Good</p><p>6. Technical Competencies: Name Level Applications Management and Maintenance Very Good Data Analysis, Data Management &amp; Data Quality Excellent Computer Skills Excellent Cost Estimation &amp; Analysis Good Data visualization and interpretation Excellent Business Intelligence Solutions Very Good Business Decisions Good</p><p>7. QUALIFICATIONS, EXPERIENCE, &amp; SKILLS: Essential Education &amp; Experience Bachelor's degree in Business, Mathematics, Statistics, Computer Science, or a related quantitative field 4 8 years' progressive experience in data analytics, BI, or enterprise reporting, including proven accountability for leading a small analytics/BI team and owning end-to-end delivery Technical Skills Deep, hands-on mastery of Power BI able to own enterprise semantic models end to end, including data modelling, advanced DAX, Power Query (M), and workspace/gateway administration, and to set the standard others build to Proven expertise in tabular modelling and performance tuning at enterprise scale diagnosing and resolving model, DAX, and refresh performance issues using tools such&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Business, Mathematics, Statistics, Computer Science, or a related quantitative field</li><li>4 - 8 years' progressive experience in data analytics, BI, or enterprise reporting, including proven accountability for leading a small analytics/BI team and owning end-to-end delivery</li><li>Deep, hands-on mastery of Power BI able to own enterprise semantic models end to end, including data modelling, advanced DAX, Power Query (M), and workspace/gateway administration, and to set the standard others build to</li><li>Proven expertise in tabular modelling and performance tuning at enterprise scale diagnosing and resolving model, DAX, and refresh performance issues using tools such as Tabular Editor and DAX Studio across Power BI Premium and/or Azure Analysis Services</li><li>Strong command of SQL for interrogating, validating, and reconciling data across relational databases and enterprise systems (ERP/CRM)</li><li>Sound grounding in data warehousing and integration architecture (ETL/ELT, star schema, fact/dimension modelling), with the judgement to shape durable, reusable models rather than one-off solutions</li><li>Confident application of data access controls (e.g., row-level security) and data privacy requirements in a regulated enterprise reporting environment</li><li>Familiarity with ITIL or similar IT service-management frameworks for handling BI support tickets and change control</li><li>Credible business and domain understanding in at least one core area commercial, finance, supply chain, or manufacturing sufficient to challenge assumptions, frame the right questions, and translate business processes into analytical models</li><li>Mature stakeholder-management and business-engagement capability able to hold credible discussions with function leads, structure and document business requirements, and present insights and recommendations that stand up to senior scrutiny</li><li>Demonstrated people-leadership capability setting technical direction, reviewing and raising the quality of others' work, and developing analysts over time</li><li>Excellent English language skills, written and spoken</li><li>Experience leading or contributing to the migration of reporting and data workloads between platforms (Desirable)</li><li>Familiarity with Spark SQL and lakehouse architecture concepts (Desirable)</li></ul>

<p><h4>Description</h4> <p>Optimiza is looking for a proactive, customer-focused Helpdesk L1/L2 Engineer to deliver technical support and resolve incidents for end users. This position emphasizes providing prompt assistance, addressing hardware and software problems, and escalating more complex issues to advanced support levels when required.</p> <h4>Responsibilities:</h4> <ul> <li>Quickly respond to service requests and incidents received via phone, email, or ticketing system.</li> <li>Diagnose and fix hardware, software, network, and application problems at Level 1 and Level 2 support tiers.</li> <li>Support workstation setup, system configuration, and software deployment tasks.</li> <li>Accurately record all incidents, service requests, solutions, and procedures.</li> <li>Keep knowledge base articles updated to enhance end-user efficiency.</li> <li>Work closely with other IT teams to escalate and track complex technical issues.</li> <li>Uphold excellent customer service, professionalism, and clear communication at all times.</li> </ul> <h4>Requirements</h4> <ul> <li>A bachelor's degree in Computer Science, Information Technology, or a related discipline is preferred.</li> <li>2 to 5 years of experience in helpdesk or technical support positions.</li> <li>In-depth understanding of Windows and Linux operating systems.</li> <li>Experience with supporting Microsoft Office 365, endpoint security solutions, and frequently used business applications.</li> <li>Knowledge of ticketing systems and IT Service Management (ITSM) processes.</li> <li>Strong problem-solving abilities along with excellent communication skills.</li> <li>Capacity to manage multiple tasks simultaneously and perform efficiently under pressure in a dynamic environment.</li> <li>Basic knowledge of networking concepts such as TCP/IP, DNS, and DHCP is an advantage.</li> <li>Possession of relevant certifications like CompTIA A+, CompTIA Network+, or ITIL Foundation is beneficial.</li> </ul> <h4>Benefits</h4> <ul> <li>Bonus</li> <li>Medical insurance</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Optimiza is looking for a proactive, customer-focused Helpdesk L1/L2 Engineer to deliver technical support and resolve incidents for end users. This position emphasizes providing prompt assistance, addressing hardware and software problems, and escalating more complex issues to advanced support levels when required.</p> <h4>Responsibilities:</h4> <ul> <li>Quickly respond to service requests and incidents received via phone, email, or ticketing system.</li> <li>Diagnose and fix hardware, software, network, and application problems at Level 1 and Level 2 support tiers.</li> <li>Support workstation setup, system configuration, and software deployment tasks.</li> <li>Accurately record all incidents, service requests, solutions, and procedures.</li> <li>Keep knowledge base articles updated to enhance end-user efficiency.</li> <li>Work closely with other IT teams to escalate and track complex technical issues.</li> <li>Uphold excellent customer service, professionalism, and clear communication at all times.</li> </ul> <h4>Requirements</h4> <ul> <li>A bachelor's degree in Computer Science, Information Technology, or a related discipline is preferred.</li> <li>2 to 5 years of experience in helpdesk or technical support positions.</li> <li>In-depth understanding of Windows and Linux operating systems.</li> <li>Experience with supporting Microsoft Office 365, endpoint security solutions, and frequently used business applications.</li> <li>Knowledge of ticketing systems and IT Service Management (ITSM) processes.</li> <li>Strong problem-solving abilities along with excellent communication skills.</li> <li>Capacity to manage multiple tasks simultaneously and perform efficiently under pressure in a dynamic environment.</li> <li>Basic knowledge of networking concepts such as TCP/IP, DNS, and DHCP is an advantage.</li> <li>Possession of relevant certifications like CompTIA A+, CompTIA Network+, or ITIL Foundation is beneficial.</li> </ul> <h4>Benefits</h4> <ul> <li>Bonus</li> <li>Medical insurance</li> </ul></p><p></p>