Industrial Engineer Jobs in Jordan
771 Jobs Found
<p><h4>Description</h4>
<p><strong>About Syarah</strong><br>
Syarah is one of the leading automotive e-commerce platforms in Saudi Arabia, transforming the way people buy, sell, finance, and own vehicles. 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.</p>
<p><strong>About the role</strong><br>
We are looking for an experienced Engineering Manager – ERP & 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>
<h4>Key responsibilities</h4>
<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>
<h4>What we’re looking for</h4>
<ul>
<li>Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering 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>
<h4>Preferred experience</h4>
<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>
<h4>Tech stack</h4>
<ul>
<li>Languages & frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL</li>
<li>ERP & CRM: ERPNext, CRM platforms, custom business applications</li>
<li>Databases & caching: MongoDB / MySQL, Redis</li>
<li>Integration: REST APIs, webhooks, message queues</li>
<li>DevOps & deployment: Docker, Git, CI/CD</li>
<li>Cloud & infrastructure: AWS, GCP</li>
<li>Ways of working: Agile / Scrum, OKRs, code review, performance management</li>
</ul>
<h4>Requirements</h4>
<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></p>
<p><h4>Description</h4>
<p><strong>About Syarah</strong><br>
Syarah is one of the leading automotive e-commerce platforms in Saudi Arabia, transforming the way people buy, sell, finance, and own vehicles. 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.</p>
<p><strong>About the role</strong><br>
We are looking for an experienced Engineering Manager – ERP & 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>
<h4>Key responsibilities</h4>
<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>
<h4>What we’re looking for</h4>
<ul>
<li>Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering 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>
<h4>Preferred experience</h4>
<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>
<h4>Tech stack</h4>
<ul>
<li>Languages & frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL</li>
<li>ERP & CRM: ERPNext, CRM platforms, custom business applications</li>
<li>Databases & caching: MongoDB / MySQL, Redis</li>
<li>Integration: REST APIs, webhooks, message queues</li>
<li>DevOps & deployment: Docker, Git, CI/CD</li>
<li>Cloud & infrastructure: AWS, GCP</li>
<li>Ways of working: Agile / Scrum, OKRs, code review, performance management</li>
</ul>
<h4>Requirements</h4>
<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></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>
<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 isproject-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original material engineering problems that simulate real engineering workflows; Create problems requiring Python programming to solve engineering calculations and simulations; Ensure problems are computationally intensive and require numerical methods or iterative solutions; Develop problems involving system design, optimization, and analysis; Base problems on real research challenges or practical applications from engineering practice; Verify solutions using Python with standard engineering libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Material Science or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Understanding of practical engineering constraints and approximations; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are looking for an experienced IT Governance Security & 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>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design rigorous computer science problems reflecting professional practice;</li>
<li>Evaluate AI solutions for correctness, assumptions, and constraints;</li>
<li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li>
<li>Improve AI reasoning to align with industry-standard logic;</li>
<li>Apply structured scoring criteria to multi-step problems;</li>
<li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in computer science or related fields.</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li>
<li>Strong written English (C1+).</li>
<li>Professional certifications (e.g., CMME, SAS certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs, and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces, and content focused on creating impact and growth across the different interactions.</p>
<p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p>
<h4>Job overview</h4>
<p>We are seeking an experienced senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform. You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.</p>
<h4>Role responsibilities</h4>
<ul>
<li>Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.</li>
<li>Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.</li>
<li>Architect Agentforce solutions, including:<br>
- Agents and sub-agents<br>
- Topics<br>
- Actions (Apex, Flow, Prompt-based, and Invocable Actions)<br>
- Instructions and orchestration</li>
<li>Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.</li>
<li>Design scalable Salesforce platform architectures, including:<br>
- Data model<br>
- Sharing and visibility model<br>
- Security architecture</li>
<li>Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.</li>
<li>Produce technical architecture documentation, solution blueprints, and executive presentations.</li>
<li>Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.</li>
<li>Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.</li>
<li>Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.</li>
<li>Provide technical leadership and mentoring to project teams throughout the solution lifecycle.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.</li>
<li>Strong understanding of Agentforce architecture, including:<br>
- Agents<br>
- Sub-agents<br>
- Topics<br>
- Actions<br>
- Instructions<br>
- Orchestration</li>
<li>Experience facilitating AI use case discovery and designing agent care plans.</li>
<li>Strong expertise in Salesforce Data Cloud (Data 360), including:<br>
- Data modelling<br>
- Batch and streaming ingestion<br>
- Data harmonisation<br>
- Identity resolution</li>
<li>Deep understanding of Retrieval-Augmented Generation (RAG), including:<br>
- Vector databases<br>
- Embedding and chunking strategies<br>
- Retrieval optimisation<br>
- Grounding using Data Cloud and external knowledge sources</li>
<li>Strong Salesforce platform architecture experience covering:<br>
- Data modelling<br>
- Security architecture<br>
- Sharing and visibility model (OWD, Roles, Sharing Rules)</li>
<li>Advanced development skills in:<br>
- Apex<br>
- Lightning Web Components (LWC)<br>
- Salesforce Flow</li>
<li>Experience designing enterprise integration patterns connecting Agentforce with external systems.</li>
<li>Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.</li>
<li>Understanding of the Agentforce consumption model.</li>
<li>Experience with Agentforce Testing Center or equivalent AI testing frameworks.</li>
</ul>
<h4>Nice to have</h4>
<ul>
<li>Knowledge of Model Context Protocol (MCP).</li>
<li>Experience with Agent-to-Agent (A2A) integration patterns.</li>
<li>Experience designing headless Salesforce architectures.</li>
<li>Agentblazer Legend status.</li>
<li>Agentforce FDE Ready Practitioner accreditation.</li>
</ul>
<h4>Preferred Salesforce certifications</h4>
<ul>
<li>Salesforce Application Architect</li>
<li>Salesforce Data Cloud Consultant</li>
<li>Salesforce Agentforce Specialist</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Fully remote engagement.</li>
<li>Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.</li>
<li>Collaborate with leading enterprise clients on large-scale digital transformation programmes.</li>
<li>Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.</li>
</ul></p><p></p>
<p><h4>Job description</h4>
<p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li>
<li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li>
<li>Document business processes, functional requirements, and business rules.</li>
<li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li>
<li>Define source-to-target mapping requirements and validate data transformations.</li>
<li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li>
<li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li>
<li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li>
<li>Review ETL mapping documents and ensure business logic is correctly implemented.</li>
<li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li>
<li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li>
<li>Maintain business glossaries, metadata, and documentation.</li>
<li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li>
<li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Strong business analysis and requirement elicitation skills.</li>
<li>Excellent stakeholder management and communication skills.</li>
<li>Experience documenting business requirements and functional specifications.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Understanding of relational databases and SQL.</li>
<li>Basic knowledge of data warehousing concepts such as:</li>
<ul>
<li>Facts and dimensions</li>
<li>Star schema</li>
<li>Snowflake schema</li>
<li>Slowly changing dimensions (SCD)</li>
<li>Data lineage</li>
<li>Metadata management</li>
<li>Data quality</li>
</ul>
<li>Experience working in Agile/Scrum environments.</li>
</ul>
<h4>Preferred technical knowledge</h4>
<ul>
<li>SQL</li>
<li>Data warehouse / data lakehouse architecture</li>
<li>ETL concepts and data integration</li>
<li>Data mapping documentation</li>
<li>Data quality frameworks</li>
<li>BI and reporting platforms</li>
<li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li>
</ul>
<h4>Deliverables</h4>
<ul>
<li>Business requirement documents (BRD)</li>
<li>Functional requirement specifications (FRS)</li>
<li>KPI definitions</li>
<li>Data dictionary</li>
<li>Business glossary</li>
<li>Data validation and UAT test cases</li>
</ul>
<h4>Qualifications</h4>
<ul>
<li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li>
<li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li>
<li>Experience in the telecommunications industry is highly preferred.</li>
</ul></p><p></p>
<p><h4>Job description</h4>
<p>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a telecom data lakehouse/data warehouse. The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Gather and analyze business requirements from stakeholders across telecom domains such as customer, billing, CRM, network, revenue assurance, finance, sales, marketing, and digital channels.</li>
<li>Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.</li>
<li>Document business processes, functional requirements, and business rules.</li>
<li>Capture business requirements into functional specifications for data engineers, data modelers, ETL developers, and BI developers.</li>
<li>Define source-to-target mapping requirements and validate data transformations.</li>
<li>Collaborate with solution architects and data modelers to ensure business requirements are accurately reflected in the data lakehouse/data warehouse design.</li>
<li>Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.</li>
<li>Support the definition of data quality rules, validation criteria, and reconciliation requirements.</li>
<li>Review ETL mapping documents and ensure business logic is correctly implemented.</li>
<li>Work closely with data engineers during development to clarify business rules and resolve functional issues.</li>
<li>Participate in user acceptance testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.</li>
<li>Maintain business glossaries, metadata, and documentation.</li>
<li>Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.</li>
<li>Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Strong business analysis and requirement elicitation skills.</li>
<li>Excellent stakeholder management and communication skills.</li>
<li>Experience documenting business requirements and functional specifications.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Understanding of relational databases and SQL.</li>
<li>Basic knowledge of data warehousing concepts such as:</li>
<ul>
<li>Facts and dimensions</li>
<li>Star schema</li>
<li>Snowflake schema</li>
<li>Slowly changing dimensions (SCD)</li>
<li>Data lineage</li>
<li>Metadata management</li>
<li>Data quality</li>
</ul>
<li>Experience working in Agile/Scrum environments.</li>
</ul>
<h4>Preferred technical knowledge</h4>
<ul>
<li>SQL</li>
<li>Data warehouse / data lakehouse architecture</li>
<li>ETL concepts and data integration</li>
<li>Data mapping documentation</li>
<li>Data quality frameworks</li>
<li>BI and reporting platforms</li>
<li>Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.</li>
</ul>
<h4>Deliverables</h4>
<ul>
<li>Business requirement documents (BRD)</li>
<li>Functional requirement specifications (FRS)</li>
<li>KPI definitions</li>
<li>Data dictionary</li>
<li>Business glossary</li>
<li>Data validation and UAT test cases</li>
</ul>
<h4>Qualifications</h4>
<ul>
<li>Bachelor's degree in information technology, computer science, business information systems, engineering, or a related field.</li>
<li>2–4 years of experience as a Business Analyst in data warehouse, data lakehouse, or business intelligence projects.</li>
<li>Experience in the telecommunications industry is highly preferred.</li>
</ul></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.<br> The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.<br> Key Responsibilities Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.<br> Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.<br> Document business processes, functional requirements, and business rules.<br> Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.<br> Define source-to-target mapping requirements and validate data transformations.<br> Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.<br> Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.<br> Support the definition of data quality rules, validation criteria, and reconciliation requirements.<br> Review ETL mapping documents and ensure business logic is correctly implemented.<br> Work closely with Data Engineers during development to clarify business rules and resolve functional issues.<br> Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.<br> Maintain business glossaries, metadata, and documentation.<br> Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.<br> Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.<br> Strong business analysis and requirement elicitation skills.<br> Excellent stakeholder management and communication skills.<br> Experience documenting business requirements and functional specifications.<br> Strong analytical and problem-solving skills.<br> Understanding of relational databases and SQL.<br> Basic knowledge of data warehousing concepts such as: Facts and Dimensions Star Schema Snowflake Schema Slowly Changing Dimensions (SCD) Data Lineage Metadata Management Data Quality Experience working in Agile/Scrum environments.<br> Preferred Technical Knowledge SQL Data Warehouse / Data Lakehouse architecture ETL concepts and data integration Data Mapping documentation Data Quality frameworks BI and Reporting platforms Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.<br> Deliverables Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) KPI Definitions Data Dictionary Business Glossary Data Validation and UAT Test Cases Qualifications Bachelor's degree in Information Technology, Computer Science, Business Information Systems, Engineering, or a related field.<br> 2–4 years of experience as a Business Analyst in Data Warehouse, Data Lakehouse, or Business Intelligence projects.<br> Experience in the telecommunications industry is highly preferred.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><b>Responsibilities</b></p><ul><li>Lead, mentor, and develop software engineers and QA teams, ensuring high performance and growth.</li><li>Establish engineering standards, best practices, and code quality guidelines.</li><li>Define and execute technical roadmaps aligned with business and product goals.</li><li>Oversee backend development using PHP, Laravel, and relational databases.</li><li>Architect scalable platforms and guide decisions on performance, scalability, and maintainability.</li><li>Lead the implementation of AI-driven features, including LLMs, RAG pipelines, and automation workflows.</li><li>Design and manage system integrations using REST/SOAP APIs and ensure data synchronization with external platforms (ERP, WMS, logistics, etc.).</li><li>Ensure timely project delivery, manage deployments, and oversee infrastructure, system reliability, and performance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Qualifications</b></p><ul><li>9 15 years of experience in software development.</li><li>Strong hands-on experience with PHP and Laravel frameworks.</li><li>Proven experience building scalable web platforms and enterprise systems.</li><li>Solid experience with API integrations and distributed system architectures.</li><li>Experience working with cloud platforms such as AWS and GCP.</li><li>Demonstrated leadership experience managing engineering teams.</li><li>Strong communication skills with the ability to collaborate across teams.</li><li>Fluent in English</li></ul><p>Nice to Have</p><ul><li>Knowledge of Java or Node.js.</li><li>Experience with Python for integrations, automation, or data processing.</li><li>Background in supply chain, logistics, or ERP systems.</li></ul><p></p></section>
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li>
<li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li>
<li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li>
<li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li>
<li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li>
<li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li>
<li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li>
<li>Incorporate core data management competencies, including data governance, data security and data quality</li>
<li>Develop, implement, and maintain change control and testing processes for modifications to data models</li>
<li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li>
<li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li>
<li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li>
<li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li>
<li>Hands-on relational, dimensional, and analytical project experience</li>
<li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li>
</ul>
<h4>Skills:</h4>
<p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p>
<p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p>
<p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p>
<p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li>
<li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li>
<li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li>
<li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li>
<li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li>
<li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li>
<li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li>
<li>Incorporate core data management competencies, including data governance, data security and data quality</li>
<li>Develop, implement, and maintain change control and testing processes for modifications to data models</li>
<li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li>
<li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li>
<li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li>
<li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li>
<li>Hands-on relational, dimensional, and analytical project experience</li>
<li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li>
</ul>
<h4>Skills:</h4>
<p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p>
<p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p>
<p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p>
<p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>
<p><h4>Job summary</h4>
<p>Muller's Solutions is seeking an experienced Aconex Solution Architect (Technical Lead) to lead the architecture, implementation, deployment, and optimization of Oracle Aconex solutions. The successful candidate will be responsible for designing scalable solutions, leading technical delivery, configuring the Aconex platform, and ensuring successful implementation throughout the project lifecycle. This role requires a strong blend of solution architecture, technical leadership, stakeholder engagement, and hands-on Oracle Aconex expertise.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Lead the end-to-end implementation and deployment of Oracle Aconex solutions.</li>
<li>Design scalable Aconex solution architectures based on business and project requirements.</li>
<li>Gather and analyze business and technical requirements and translate them into solution designs.</li>
<li>Configure Oracle Aconex projects, document structures, workflows, forms, correspondence, user roles, permissions, and security settings.</li>
<li>Develop implementation strategies, deployment plans, and solution roadmaps.</li>
<li>Lead technical workshops and provide expert guidance to business and project stakeholders.</li>
<li>Design and oversee integrations between Oracle Aconex and enterprise applications using available APIs and integration methods.</li>
<li>Plan and execute document and data migration activities from legacy systems to Oracle Aconex.</li>
<li>Lead system configuration, testing (SIT/UAT), go-live activities, and post-implementation support.</li>
<li>Ensure compliance with document control standards, governance policies, and industry best practices.</li>
<li>Troubleshoot complex technical issues and recommend effective solutions.</li>
<li>Prepare solution architecture documents, technical specifications, deployment guides, and implementation documentation.</li>
<li>Provide technical leadership, mentoring, and support to project teams throughout the implementation lifecycle.</li>
</ul>
<h4>Requirements</h4>
<h4>Required qualifications</h4>
<ul>
<li>Bachelor's degree in Information Technology, Computer Science, Engineering, Construction Management, or a related field.</li>
<li>8–10+ years of relevant experience, including extensive hands-on experience with Oracle Aconex.</li>
<li>Proven experience leading Oracle Aconex implementation and deployment projects from initiation through go-live.</li>
<li>Strong expertise in Aconex configuration, document control, workflows, correspondence management, forms, and security.</li>
<li>Experience designing enterprise document management solutions and implementation strategies.</li>
<li>Experience integrating Oracle Aconex with enterprise systems and external applications.</li>
<li>Strong understanding of document management, project information management, and engineering/construction workflows.</li>
<li>Excellent analytical, problem-solving, communication, and stakeholder management skills.</li>
<li>Experience leading technical teams and coordinating implementation activities.</li>
</ul>
<h4>Preferred qualifications</h4>
<ul>
<li>Oracle Aconex certifications are highly desirable.</li>
<li>Experience in engineering, construction, infrastructure, real estate, or capital projects.</li>
<li>Knowledge of document control best practices and project information management.</li>
<li>Experience with APIs, system integrations, and data migration.</li>
<li>Familiarity with cloud-based enterprise applications and digital transformation initiatives.</li>
<li>Experience working in remote and cross-functional project environments.</li>
</ul>
<h4>Key skills</h4>
<ul>
<li>Oracle Aconex architecture</li>
<li>Oracle Aconex implementation & deployment</li>
<li>Solution design</li>
<li>Technical leadership</li>
<li>Document control & document management</li>
<li>Workflow configuration</li>
<li>System integration</li>
<li>Data & document migration</li>
<li>User & security configuration</li>
<li>Stakeholder management</li>
<li>Technical documentation</li>
<li>Testing (SIT/UAT) & go-live support</li>
<li>Problem solving & troubleshooting</li>
</ul></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data & Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.<br> Responsibilities: Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data & Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : Project management capabilities • Business case development • Programming languages like SQL, Python, R • Analytics and business intelligence tools like Microsoft Power BI • Data modelling • Version control</span> </div>
<p><h4>Description</h4>
<p>We are looking for a skilled microservices developer to join our team. In this role, you will design, develop, and maintain scalable microservices-based applications, build secure and high-performance backend services, and collaborate with cross-functional teams to deliver reliable enterprise solutions.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Design, develop, and maintain microservices-based applications using modern software architecture principles.</li>
<li>Build and maintain RESTful APIs and backend services for internal and external applications.</li>
<li>Implement communication between services using REST APIs, messaging queues, or event-driven architectures.</li>
<li>Ensure the scalability, resilience, performance, and availability of microservices.</li>
<li>Collaborate with front-end developers, DevOps engineers, and solution architects to deliver end-to-end solutions.</li>
<li>Implement security best practices, including authentication, authorization, and data protection.</li>
<li>Participate in code reviews and maintain high coding standards and software development best practices.</li>
<li>Troubleshoot and resolve production issues related to microservices and system integrations.</li>
<li>Support CI/CD pipelines and containerized deployments to ensure efficient software delivery.</li>
<li>Stay up to date with emerging technologies and contribute to continuous improvement initiatives.</li>
</ul>
<h4>Key performance indicators (KPIs)</h4>
<ul>
<li>Timely delivery of microservices features and project milestones.</li>
<li>High system uptime and service reliability.</li>
<li>API performance and response times.</li>
<li>Reduction in system integration issues.</li>
<li>Code quality and low defect rates.</li>
<li>Successful deployment and release cycle effectiveness.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We are looking for a skilled microservices developer to join our team. In this role, you will design, develop, and maintain scalable microservices-based applications, build secure and high-performance backend services, and collaborate with cross-functional teams to deliver reliable enterprise solutions.</p>
<h4>Key responsibilities</h4>
<ul>
<li>Design, develop, and maintain microservices-based applications using modern software architecture principles.</li>
<li>Build and maintain RESTful APIs and backend services for internal and external applications.</li>
<li>Implement communication between services using REST APIs, messaging queues, or event-driven architectures.</li>
<li>Ensure the scalability, resilience, performance, and availability of microservices.</li>
<li>Collaborate with front-end developers, DevOps engineers, and solution architects to deliver end-to-end solutions.</li>
<li>Implement security best practices, including authentication, authorization, and data protection.</li>
<li>Participate in code reviews and maintain high coding standards and software development best practices.</li>
<li>Troubleshoot and resolve production issues related to microservices and system integrations.</li>
<li>Support CI/CD pipelines and containerized deployments to ensure efficient software delivery.</li>
<li>Stay up to date with emerging technologies and contribute to continuous improvement initiatives.</li>
</ul>
<h4>Key performance indicators (KPIs)</h4>
<ul>
<li>Timely delivery of microservices features and project milestones.</li>
<li>High system uptime and service reliability.</li>
<li>API performance and response times.</li>
<li>Reduction in system integration issues.</li>
<li>Code quality and low defect rates.</li>
<li>Successful deployment and release cycle effectiveness.</li>
</ul></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p> <strong>Key Responsibilities : </strong> </p> <p>Analyze business and technical requirements and create comprehensive test plans and test cases.<br>Design, execute, and maintain manual and automated test suites.<br>Perform Functional, Regression, Integration, System, Smoke, Sanity, UAT, and End-to-End testing.<br>Conduct API testing using RESTful services and validate responses.<br>Perform database testing and data integrity validation using SQL.<br>Identify, document, track, and verify software defects.<br>Collaborate with developers and product teams throughout the SDLC and Agile ceremonies.<br>Participate in requirement reviews and provide feedback on testability and quality risks.<br>Maintain and enhance automation frameworks using tools such as Selenium, Playwright, Cypress, or Appium.<br>Integrate automated tests into CI/CD pipelines.<br>Mentor junior QA engineers and promote QA best practices.<br>Support performance testing activities when required. </p> <p> <br> </p> <p> <strong>Required Qualifications :</strong> </p> <p>Bachelor's degree in Computer Science, Software Engineering, or a related field.<br>5+ years of experience in Software Quality Assurance.<br>Strong knowledge of software testing methodologies and QA processes.<br>Hands-on experience with test automation tools such as Selenium, Playwright, Cypress, or Appium.<br>Strong SQL skills and experience with database validation.<br>Experience working in Agile/Scrum environments.<br>Knowledge of defect tracking and test management tools such as Jira, TestRail, or Azure DevOps.<br>Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.<br>Strong analytical, troubleshooting, and communication skills</p></div></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are looking for a skilled Microservices Developer to join our team.<br> In this role, you will design, develop, and maintain scalable microservices-based applications, build secure and high-performance backend services, and collaborate with cross-functional teams to deliver reliable enterprise solutions.<br> Key Responsibilities Design, develop, and maintain microservices-based applications using modern software architecture principles.<br> Build and maintain RESTful APIs and backend services for internal and external applications.<br> Implement communication between services using REST APIs, messaging queues, or event-driven architectures.<br> Ensure the scalability, resilience, performance, and availability of microservices.<br> Collaborate with front-end developers, DevOps engineers, and solution architects to deliver end-to-end solutions.<br> Implement security best practices, including authentication, authorization, and data protection.<br> Participate in code reviews and maintain high coding standards and software development best practices.<br> Troubleshoot and resolve production issues related to microservices and system integrations.<br> Support CI/CD pipelines and containerized deployments to ensure efficient software delivery.<br> Stay up to date with emerging technologies and contribute to continuous improvement initiatives.<br> Key Performance Indicators (KPIs) Timely delivery of microservices features and project milestones.<br> High system uptime and service reliability.<br> API performance and response times.<br> Reduction in system integration issues.<br> Code quality and low defect rates.<br> Successful deployment and release cycle effectiveness.<br></span> </div>