Database administrator DBA Jobs

<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> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; 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 $50 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>

<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> What this opportunity involves While each project involves unique tasks, contributors may: Design and evaluate Quarterly Business Review scenarios — performance vs.<br> benchmark, allocation drift against IPS tolerance bands, and material fund document changes; Create rebalancing and tax-loss harvesting test cases involving cost basis, short-term vs.<br> long-term capital gains, and wash-sale rule application; Develop suitability check cases probing risk tolerance, time horizon, prohibited holdings, and concentration limits against a client's Investment Policy Statement; Construct fee-stack analysis cases: portfolio-weighted expense ratios, advisory fees, and all-in cost comparisons against category benchmarks; Document test cases clearly with verified calculations, policy citations, and correct answers.<br> What we look for This opportunity is a good fit for professionals with a background in investment management, financial advisory, or broader financial services who are open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Finance, Economics, Business Administration, Accounting, Mathematics, Statistics, or any related field; 2+ years of finance, investment, accounting, or financial services experience; Current or recent experience in advisory &amp; management or adjacent roles; Practical knowledge of portfolio performance analysis, tax-lot accounting, wash-sale rules, and Investment Policy Statement literacy; a CFA, CFP, CPWA, CIMA, or CIPM credential is a strong positive signal; 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 $50 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>

<p><h4>Position</h4> <p>Associate Director – MEP (Data Centres)</p> <p><strong>Location:</strong> Amman, Jordan</p> <h4>Qualification & Experience Required</h4> <ul> <li>Bachelor’s or Master’s degree in Electrical, Mechanical, or Building Services Engineering.</li> <li>10-15+ years of progressive experience in planning, designing, and delivering large-scale data centers, including multiple Uptime Tier III/IV projects.</li> <li>Responsible for the end-to-end design, delivery, and technical leadership of mission-critical data centre facilities. You will act as the single technical authority, interfacing directly with clients, vendors, and internal teams to ensure projects meet performance, reliability, and compliance targets from design inception through to delivery.</li> <li>In-depth knowledge of MV/LV power distribution, UPS, emergency generators, CRAC units, economizers, chilled-water systems, VFDs, fire detection/suppression, BMS, and DCIM platforms.</li> <li>Strong understanding of latest data centre system trends and technologies such as liquid-cooling are highly desirable.</li> <li>Preferred experience with fast track design/build projects and/or multiple significant upgrade projects for large-scale technical operations or large-scale compute farms.</li> <li>Professional certifications such as Uptime Tier Certified Professional, PMP, LEED AP, or BICSI RCDD are highly desirable.</li> </ul> <h4>About the Company</h4> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed.</p> <p>We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; 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>Position</h4> <p>Associate Director – MEP (Data Centres)</p> <p><strong>Location:</strong> Amman, Jordan</p> <h4>Qualification & Experience Required</h4> <ul> <li>Bachelor’s or Master’s degree in Electrical, Mechanical, or Building Services Engineering.</li> <li>10-15+ years of progressive experience in planning, designing, and delivering large-scale data centers, including multiple Uptime Tier III/IV projects.</li> <li>Responsible for the end-to-end design, delivery, and technical leadership of mission-critical data centre facilities. You will act as the single technical authority, interfacing directly with clients, vendors, and internal teams to ensure projects meet performance, reliability, and compliance targets from design inception through to delivery.</li> <li>In-depth knowledge of MV/LV power distribution, UPS, emergency generators, CRAC units, economizers, chilled-water systems, VFDs, fire detection/suppression, BMS, and DCIM platforms.</li> <li>Strong understanding of latest data centre system trends and technologies such as liquid-cooling are highly desirable.</li> <li>Preferred experience with fast track design/build projects and/or multiple significant upgrade projects for large-scale technical operations or large-scale compute farms.</li> <li>Professional certifications such as Uptime Tier Certified Professional, PMP, LEED AP, or BICSI RCDD are highly desirable.</li> </ul> <h4>About the Company</h4> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed.</p> <p>We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<p><h4>Description</h4> <p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p> <h4>Key responsibilities</h4> <ul> <li>Lead enterprise data management and data governance initiatives.</li> <li>Develop data governance frameworks, policies, standards, and procedures.</li> <li>Define data ownership, stewardship, and accountability models.</li> <li>Establish data quality frameworks, KPIs, and monitoring processes.</li> <li>Design metadata management and business glossary structures.</li> <li>Develop master data management (MDM) strategies.</li> <li>Support data catalog implementation and governance.</li> <li>Define data lifecycle management processes.</li> <li>Develop data classification and data retention policies.</li> <li>Assess current-state data maturity and recommend improvements.</li> <li>Conduct data governance workshops with business stakeholders.</li> <li>Support implementation of governance tools and platforms.</li> <li>Ensure compliance with local and international regulations.</li> <li>Prepare executive reports, dashboards, and governance metrics.</li> <li>Mentor data management specialists.</li> </ul> <h4>Requirements</h4> <ul> <li>Enterprise data governance</li> <li>Data quality management</li> <li>Metadata management</li> <li>Master data management (MDM)</li> <li>Data catalog solutions</li> <li>Data lineage</li> <li>Data architecture concepts</li> <li>Data lifecycle management</li> <li>Data modeling fundamentals</li> <li>SQL knowledge</li> <li>BI concepts</li> <li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data management or data governance.</li> <li>Minimum 3 years leading enterprise data governance initiatives.</li> <li>Experience delivering consulting engagements.</li> </ul> <h4>Preferred certifications</h4> <ul> <li>DCAM</li> <li>CDMP</li> <li>DAMA</li> <li>Collibra certification</li> <li>Microsoft Purview certification</li> <li>Informatica certification</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Lead the design and implementation of enterprise Data Management frameworks, governance models, policies, standards, and operating procedures.<br> The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.<br> Key Responsibilities Lead enterprise Data Management and Data Governance initiatives.<br> Develop Data Governance Frameworks, Policies, Standards, and Procedures.<br> Define data ownership, stewardship, and accountability models.<br> Establish Data Quality frameworks, KPIs, and monitoring processes.<br> Design Metadata Management and Business Glossary structures.<br> Develop Master Data Management (MDM) strategies.<br> Support Data Catalog implementation and governance.<br> Define Data Lifecycle Management processes.<br> Develop Data Classification and Data Retention policies.<br> Assess current-state data maturity and recommend improvements.<br> Conduct data governance workshops with business stakeholders.<br> Support implementation of governance tools and platforms.<br> Ensure compliance with local and international regulations.<br> Prepare executive reports, dashboards, and governance metrics.<br> Mentor Data Management Specialists.<br> Enterprise Data Governance Data Quality Management Metadata Management Master Data Management (MDM) Data Catalog Solutions Data Lineage Data Architecture concepts Data Lifecycle Management Data Modeling fundamentals SQL knowledge BI concepts Data Governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent) Experience 7 to 10 years in Data Management or Data Governance.<br> Minimum 3 years leading enterprise data governance initiatives.<br> Experience delivering consulting engagements.<br> Preferred Certifications DCAM CDMP DAMA Collibra Certification Microsoft Purview Certification Informatica Certification</span> </div>

<p><h4>Description</h4> <p>Lead the design and implementation of enterprise data management frameworks, governance models, policies, standards, and operating procedures. The consultant will work closely with business and IT stakeholders to improve data quality, establish data ownership, ensure regulatory compliance, and maximize the business value of organizational data assets.</p> <h4>Key responsibilities</h4> <ul> <li>Lead enterprise data management and data governance initiatives.</li> <li>Develop data governance frameworks, policies, standards, and procedures.</li> <li>Define data ownership, stewardship, and accountability models.</li> <li>Establish data quality frameworks, KPIs, and monitoring processes.</li> <li>Design metadata management and business glossary structures.</li> <li>Develop master data management (MDM) strategies.</li> <li>Support data catalog implementation and governance.</li> <li>Define data lifecycle management processes.</li> <li>Develop data classification and data retention policies.</li> <li>Assess current-state data maturity and recommend improvements.</li> <li>Conduct data governance workshops with business stakeholders.</li> <li>Support implementation of governance tools and platforms.</li> <li>Ensure compliance with local and international regulations.</li> <li>Prepare executive reports, dashboards, and governance metrics.</li> <li>Mentor data management specialists.</li> </ul> <h4>Requirements</h4> <ul> <li>Enterprise data governance</li> <li>Data quality management</li> <li>Metadata management</li> <li>Master data management (MDM)</li> <li>Data catalog solutions</li> <li>Data lineage</li> <li>Data architecture concepts</li> <li>Data lifecycle management</li> <li>Data modeling fundamentals</li> <li>SQL knowledge</li> <li>BI concepts</li> <li>Data governance platforms (Collibra, Informatica, Microsoft Purview, IBM IGC or equivalent)</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data management or data governance.</li> <li>Minimum 3 years leading enterprise data governance initiatives.</li> <li>Experience delivering consulting engagements.</li> </ul> <h4>Preferred certifications</h4> <ul> <li>DCAM</li> <li>CDMP</li> <li>DAMA</li> <li>Collibra certification</li> <li>Microsoft Purview certification</li> <li>Informatica certification</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>Jordan Kuwait Bank is seeking&nbsp;<strong>Data Governance Officers</strong> to join our Data Management team. You will play a key role in implementing data quality frameworks, managing metadata and business glossaries, establishing governance policies, and ensuring data accuracy, compliance, and accessibility across the organization.</p><br> <p><strong>What We're Looking For:</strong></p><br> <p><strong>Experience:</strong> ✔ 1-2 years in data management, data governance, data quality, metadata management, business intelligence, data analytics, or related fields</p><br> <p><strong>Skills &amp; Knowledge:</strong> ✔ Good understanding of data management and data governance principles</p><br> <ul> <li>Knowledge of DAMA-DMBOK concepts and best practices</li> <li>Understanding of data quality dimensions, profiling, validation and issue management</li> <li>Familiarity with metadata management, business glossary, data catalog, and data lineage concepts</li> <li>Understanding of critical data elements and data ownership/stewardship</li> <li>Knowledge of data governance frameworks, policies, standards and controls</li> <li>Basic understanding of data privacy, data classification, and regulatory requirements</li> <li>Experience working with business and technical stakeholders</li> <li>Strong analytical, communication and problem-solving skills</li> <li>Experience with data governance or metadata tools is an advantage</li> </ul> <p><strong>Preferred Qualifications:</strong> Bachelor's degree in Computer Science, Information Systems, Data Science, Business Information Systems, or related field , Professional certifications such as DAMA CDMP, Data Governance or Data Management certification are a plus<br><strong>We are an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, national origin, or disability status, and we work together to promote a safe and healthy working environment.</strong>&nbsp;</p><br> </div>

<p><h4>Description</h4> <p>At Syarah, we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make. We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.</p> <p>This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business—proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.</p> <p>You will design and govern Syarah’s end-to-end data platform on GCP, unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.</p> <p>You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.</p> <h4>Key Responsibilities</h4> <ul> <li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li> <li>Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform)</li> <li>Design scalable ETL pipelines and unified star schema data models</li> <li>Integrate ERPNext and other operational systems into centralized data architecture</li> <li>Build and deploy containerized services using Docker on Cloud Run</li> <li>Develop and maintain Flask REST APIs for secure data sharing</li> <li>Own data DevOps, including CI/CD pipelines and infrastructure management</li> <li>Orchestrate workflows using Apache Airflow</li> <li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li> <li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li> <li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li> <li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li> <li>Translate data into executive-level business decisions and recommendations</li> <li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li> <li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li> <li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li> </ul> <h4>Requirements</h4> <ul> <li>7+ years of experience in data engineering, analytics, or data platform roles</li> <li>Proven experience in a data leadership or senior technical role</li> <li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li> <li>Advanced proficiency in Python and SQL</li> <li>Solid experience building and scaling data pipelines and ETL architectures</li> <li>Experience with API development (Flask or similar frameworks)</li> <li>Hands-on experience with Airflow or other workflow orchestration tools</li> <li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li> <li>Experience working with ERP systems (ERPNext or similar) is a plus</li> <li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li> <li>Experience in building or leading data teams</li> <li>Strong business acumen with ability to translate data into actionable insights</li> <li>Experience with CI/CD, Docker, and cloud infrastructure management</li> <li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li> <li>Excellent communication skills and ability to work closely with executive leadership</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At Syarah , we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make.<br> We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.<br> This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business —proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.<br> You will design and govern Syarah’s end-to-end data platform on GCP , unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.<br> You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.<br> Key Responsibilities Lead and mentor a cross-functional data team (engineering, analytics, data science) Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform) Design scalable ETL pipelines and unified star schema data models Integrate ERPNext and other operational systems into centralized data architecture Build and deploy containerized services using Docker on Cloud Run Develop and maintain Flask REST APIs for secure data sharing Own data DevOps , including CI/CD pipelines and infrastructure management Orchestrate workflows using Apache Airflow Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake Ensure reliable event tracking, identity resolution, and funnel analytics across platforms Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking Deliver proactive insights: identify trends, anomalies, and risks before they are requested Translate data into executive-level business decisions and recommendations Define KPI frameworks and build trusted data products for finance, operations, and product teams Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation 7+ years of experience in data engineering, analytics, or data platform roles Proven experience in a data leadership or senior technical role Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform) Advanced proficiency in Python and SQL Solid experience building and scaling data pipelines and ETL architectures Experience with API development (Flask or similar frameworks) Hands-on experience with Airflow or other workflow orchestration tools Strong knowledge of product analytics and mobile attribution tools (e.<br>g., Mixpanel, Adjust) Experience working with ERP systems (ERPNext or similar) is a plus Strong understanding of data modeling, KPI frameworks, and business intelligence Experience in building or leading data teams Strong business acumen with ability to translate data into actionable insights Experience with CI/CD, Docker, and cloud infrastructure management Exposure to AI/ML tools or LLM-based automation is a strong plus Excellent communication skills and ability to work closely with executive leadership</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span >Key Responsibilities</span></p><ul><li>Lead and mentor a cross-functional data team (engineering, analytics, data science)</li><li>Architect and manage Syarah s data platform on GCP (BigQuery, Cloud Run, Dataform)</li><li>Design scalable ETL pipelines and unified star schema data models</li><li>Integrate ERPNext and other operational systems into centralized data architecture</li><li>Build and deploy containerized services using Docker on Cloud Run</li><li>Develop and maintain Flask REST APIs for secure data sharing</li><li>Own data DevOps , including CI/CD pipelines and infrastructure management</li><li>Orchestrate workflows using Apache Airflow</li><li>Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake</li><li>Ensure reliable event tracking, identity resolution, and funnel analytics across platforms</li><li>Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking</li><li>Deliver proactive insights: identify trends, anomalies, and risks before they are requested</li><li>Translate data into executive-level business decisions and recommendations</li><li>Define KPI frameworks and build trusted data products for finance, operations, and product teams</li><li>Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards</li><li>Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>7+ years of experience in data engineering, analytics, or data platform roles</li><li>Proven experience in a data leadership or senior technical role</li><li>Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform)</li><li>Advanced proficiency in Python and SQL</li><li>Solid experience building and scaling data pipelines and ETL architectures</li><li>Experience with API development (Flask or similar frameworks)</li><li>Hands-on experience with Airflow or other workflow orchestration tools</li><li>Strong knowledge of product analytics and mobile attribution tools (e.g., Mixpanel, Adjust)</li><li>Experience working with ERP systems (ERPNext or similar) is a plus</li><li>Strong understanding of data modeling, KPI frameworks, and business intelligence</li><li>Experience in building or leading data teams</li><li>Strong business acumen with ability to translate data into actionable insights</li><li>Experience with CI/CD, Docker, and cloud infrastructure management</li><li>Exposure to AI/ML tools or LLM-based automation is a strong plus</li><li>Excellent communication skills and ability to work closely with executive leadership</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization. The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI-driven ecosystems.</p><p>Responsibilities:</p><ul><li>Design, develop, and optimize scalable data pipelines using Python or Java.</li><li>Build and maintain ETL/ELT frameworks using Apache Spark (Batch &amp; Streaming).</li><li>Write advanced SQL queries for data transformation, validation, and analytics.</li><li>Develop APIs to share data with other services.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.</li><li>Implement data validation, logging, and error-handling mechanisms.</li><li>Optimize pipeline performance and manage large-scale datasets.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field.</li><li>5+ years of hands-on experience in Data Engineering or Big Data development.</li><li>Strong programming experience in Python and/or Java And scala.</li><li>Hands-on expertise with Apache Spark (Batch &amp; Streaming).</li><li>Experience with scripting (Python, Bash, Shell).</li><li>API (Python, Java) Development skills.</li><li>Understanding of distributed systems and big data architectures.</li><li>Good knowledge in AWS services (S3, RDS, Redshift, Glue, EMR, Athena, Lambda, etc.).</li><li>Strong experience in data modeling and data warehousing.</li><li>Hands-on experience with batch and streaming data processing, and workflow orchestration tools such as Apache Airflow.</li><li>Experience in API and data integration, with exposure to GenAI integrations (LLMs, LangChain) considered a plus.</li><li>Strong problem-solving and analytical skills and ability to work in a fast paced environment.</li><li>Excellent communication and documentation skills.</li></ul><p></p></section>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Lead enterprise data privacy and personal data protection programs by developing privacy frameworks, policies, compliance controls, privacy risk assessments, and regulatory implementation aligned with applicable privacy laws and international standards.</p> <h4>Key Responsibilities</h4> <ul> <li>Develop enterprise data privacy framework.</li> <li>Create privacy policies and procedures.</li> <li>Conduct privacy impact assessments (PIA).</li> <li>Perform data protection impact assessments (DPIA).</li> <li>Design privacy by design controls.</li> <li>Define personal data classification standards.</li> <li>Develop consent management processes.</li> <li>Establish data subject rights procedures.</li> <li>Implement data retention and deletion policies.</li> <li>Support data breach management processes.</li> <li>Conduct privacy risk assessments.</li> <li>Map personal data processing activities.</li> <li>Ensure compliance with applicable privacy regulations.</li> <li>Deliver awareness sessions and stakeholder workshops.</li> <li>Support privacy audits and assessments.</li> </ul> <h4>Requirements</h4> <h4>Technical Skills</h4> <ul> <li>Personal data protection regulations</li> <li>Privacy risk assessment</li> <li>DPIA / PIA</li> <li>Privacy by design</li> <li>Data classification</li> <li>Data masking</li> <li>Data anonymization</li> <li>Data encryption fundamentals</li> <li>Identity & access management concepts</li> <li>Records management</li> <li>Information security fundamentals</li> <li>Privacy compliance tools</li> </ul> <h4>Experience</h4> <ul> <li>7 to 10 years in data privacy, information security, governance, risk & compliance, or related fields.</li> <li>Experience implementing enterprise privacy programs.</li> <li>Experience with regulatory compliance projects.</li> </ul> <h4>Preferred Certifications</h4> <ul> <li>CIPP/E</li> <li>CIPP/A</li> <li>CIPM</li> <li>CIPT</li> <li>ISO 27701 Lead Implementer</li> <li>ISO 27001 Lead Implementer</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>This role is within Amazon's corporate operations, where as a member of Amazon's AI Data Associate team, you will be part of a team that is responsible for the quality of data that is used to train and improve our AI models.</p><p>We are looking for individuals who are passionate about data, possess a keen eye for detail, and have a strong <b>understanding of the Arabic language. You will be working with large datasets, performing data annotation, data validation, and contributing to the overall improvement of our AI capabilities.</b></p><p><b>Key Responsibilities:</b></p><ul><li>Annotate and label data accurately according to project guidelines.</li><li>Perform quality checks on data to ensure accuracy and consistency.</li><li>Identify and report data discrepancies and issues.</li><li>Collaborate with team members to achieve project goals.</li><li>Contribute to the development and refinement of data annotation guidelines.</li><li>Participate in training sessions and knowledge sharing activities.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Associate's degree or above</li><li>Good knowledge in both spoken and written English</li><li>Language fluency in written and spoken Arabic</li><li>Strong business writing skills with ability to create reports, proposals, and professional correspondence</li><li>Bachelor's degree in a relevant field</li><li>1+ years of project coordination experience</li><li>Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization</li><li>2+ years of professional work experience</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.<br> Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions.<br> From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.<br> What You'll Do ❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities ❏ Translate business requirements into scalable data science and machine learning solutions ❏ Validate data availability and define analytical approaches for new use cases ❏ Build predictive models, machine learning solutions, and GenAI applications ❏ Design robust data pipelines and analytical workflows ❏ Apply data processing, feature engineering, and statistical modelling techniques ❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices ❏ Present analytical findings and recommendations to technical and executive stakeholders ❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way ❏ Mentor junior team members and support technical delivery across multiple initiatives You're Our Match If You Have ❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field ❏ 5+ years of hands-on experience delivering data science or machine learning solutions ❏ Strong Python programming skills and experience with modern data science libraries ❏ Experience building predictive models, machine learning solutions, and GenAI applications ❏ Strong understanding of statistics, data modelling, and feature engineering ❏ Experience designing scalable data pipelines and production-ready AI solutions ❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management ❏ Excellent stakeholder management and communication skills ❏ Ability to translate complex technical concepts into business value Bonus Points If You Have Experience With ❏ Telecommunications or other customer-centric industries ❏ Large-scale customer analytics and segmentation ❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) ❏ Cloud platforms such as Azure, AWS, or Google Cloud ❏ Databricks, Spark, or distributed data processing ❏ Docker, Kubernetes, or CI/CD pipelines ❏ Leading or mentoring technical teams</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Key Responsibilities:<br>o Gathers and analyzes reporting requirements from key HR stakeholders to design impactful dashboards<br>and KPIs.<br>o Develop interactive and professional dashboards using Power BI, aligned with business needs.<br>o Translates complex HR data into clear insights that support HR team in effective decision-making.<br>o Builds reporting dashboards in areas such as Learning and development, Talent acquisition, Performance<br>management, and Compensation &amp; benefits.<br>o Collaborates with internal HR teams to understand evolving business needs and proactively adjusts<br>reporting approaches.<br>o Ensures accuracy and consistency in HR data visualizations and dashboard updates.<br>o Supports ongoing optimization of HR reporting tools and solutions.<br>o Maintains confidentiality and integrity of employee data in all reporting activities.</p><br><br><ul> <li>Proven experience in Power BI development, in HR or People Analytics.</li> <li>Proficiency in using Excel and PowerPoint tools.</li> <li>Strong analytical and storytelling skills using data.</li> <li>Experience in tracking HR metrics and using data to forecast trends</li> </ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) 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 $25 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>

<p><h4>Description</h4> <p>We are seeking a Data Protection & DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed. The role focuses on translating data classification requirements into practical, enforceable controls and reviewing existing data protection measures against industry best practices and NCA ECC standards.</p> <h4>Key responsibilities:</h4> <ul> <li>Translate data classification into practical controls — defining what data is sensitive and how it must be protected.</li> <li>Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.</li> <li>Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.</li> <li>Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.</li> <li>Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.</li> <li>Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.</li> <li>Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.</li> </ul> <h4>Requirements</h4> <ul> <li>Arabic speakers</li> <li>6 years of relevant experience in data protection, DLP design, and governance.</li> <li>Strong understanding of data classification frameworks and how to operationalize them into technical controls.</li> <li>Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.</li> <li>Ability to define secure configuration baselines and exception-handling processes.</li> <li>Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.</li> <li>Strong documentation skills for audit evidence, runbooks, and SOPs.</li> <li>Strong communication skills to deliver training and knowledge transfer to internal teams.</li> </ul></p><p></p>