Data Entry Jobs in UAE

Company Description This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Junior Data Analyst / Data Scientist to join their remote team and support data-driven decision-making across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). The role is ideal for an early-career data professional who enjoys working with data, identifying meaningful patterns, building analytical solutions, and turning complex datasets into actionable business insights. The successful candidate will work across analytics and data science initiatives, supporting reporting, business intelligence, predictive analytics, experimentation, and machine learning projects.<br>Key responsibilities include:Analyze structured and unstructured datasets using Python, SQL, and statistical methods Perform Exploratory Data Analysis (EDA) to identify trends, patterns, anomalies, and business opportunities Develop recurring reports, dashboards, KPIs, and Business Intelligence (BI) solutions Extract, clean, transform, and validate data from multiple sources Conduct descriptive and statistical analysis to support business decisions Develop basic predictive and Machine Learning (ML) models under the guidance of senior team members Support customer, product, sales, marketing, and operational analytics initiatives Analyze customer behavior, business performance, transactions, and operational metrics Assist with forecasting, segmentation, classification, and predictive analytics projects Design and analyze A/B tests, experiments, and hypothesis tests when required Create data visualizations and communicate insights to technical and non-technical stakeholders Support Artificial Intelligence (AI), automation, and data-driven business initiatives Identify opportunities to improve reporting, analytics workflows, and data quality Collaborate with Product, Engineering, Finance, Marketing, Operations, and Business teams Translate business questions into analytical problems and data-driven recommendations<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or a related quantitative field Strong foundational knowledge of Python and SQLUnderstanding of statistics, probability, and data analysis concepts Experience working with datasets and performing Exploratory Data Analysis (EDA) Familiarity with pandas, Num Py, scikit-learn, or similar Python libraries Experience creating dashboards or reports using Tableau, Power BI, Looker, Metabase, or similar BI tools Strong analytical and problem-solving skills Ability to communicate analytical findings clearly to technical and non-technical stakeholders Strong written and verbal English communication skills Ability to work independently and collaboratively in a remote environment<br>Preferred Qualifications Internship, academic, bootcamp, or project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning Exposure to Financial Services, Fin Tech, Retail, E-commerce, Logistics, or other data-intensive industries Familiarity with Git and Git Hub Experience using Jupyter Notebook Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Exposure to Big Query, Snowflake, Redshift, Databricks, or other modern data platforms Experience with Excel, Tableau, Power BI, Looker, or similar analytics tools Exposure to Machine Learning, Predictive Analytics, or Statistical Modeling Exposure to Generative AI, Large Language Models (LLMs), or AI-powered applications Git Hub portfolio, Kaggle projects, university projects, bootcamp projects, or personal Data Analytics / Data Science projects

We are looking for a motivated and detail-oriented Data Analyst to join our team. The candidate will be responsible for collecting, cleaning, and analyzing data to support business decisions, building reports/dashboards, and collaborating with senior analysts to deliver actionable insights.<br>Key Responsibilities Gather, clean, and organize data from multiple sources Analyze datasets to identify trends, patterns, and actionable insights Build and maintain dashboards and reports using BI tools Present findings clearly to stakeholders in written and visual formats Coordinate with cross-functional teams to understand data requirements Maintain accuracy and consistency of data records Follow established data governance, processes, and quality guidelines Escalate data discrepancies or technical issues to senior team members promptly<br>Requirements Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field (or equivalent experience)0–3 years of experience in data analysis or related field; freshers are welcome to apply Proficiency in Excel and basic SQLFamiliarity with data visualization tools (Power BI, Tableau, or similar) Strong analytical and problem-solving skills with attention to detail Ability to work independently in a remote setup<br>Preferred Skills Experience with Python or R for data analysis Knowledge of statistical concepts and techniques Exposure to cloud-based data platforms (Google Big Query, AWS, Azure)

Senior Data Science Specialist<br>Position: Senior Data Science Specialist<br>Type: Hourly Contract (Part-Time)<br>Compensation: $120–$170/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Senior Data Science Specialists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems. The role involves evaluating AI-generated data science solutions, assessing statistical and machine learning methodologies, and applying real-world data science expertise to improve the performance of advanced AI models. No prior AI experience is required. Your data science expertise, analytical skills, and professional experience are the primary qualifications for success in this role. Responsibilities Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and quality. Solve complex data analysis, statistical modeling, machine learning, and predictive analytics problems. Review AI-generated approaches involving data preprocessing, feature engineering, model development, validation, and evaluation. Analyze datasets, statistical methodologies, predictive models, and analytical workflows. Identify errors, inconsistencies, methodological issues, and edge cases in AI-generated analyses. Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality. Provide structured technical feedback to improve AI accuracy, analytical reasoning, and model performance. Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality. Required Qualifications2+ years of professional Data Science experience or equivalent industry/research experience. Strong experience with data analysis, statistical modeling, machine learning, predictive modeling, and data visualization. Proficiency in Python, SQL, and common data science libraries and frameworks. Strong understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design. Experience working with real-world datasets and translating data into actionable insights. Ability to evaluate AI-generated analyses, models, and technical solutions for correctness and effectiveness. Excellent analytical, problem-solving, and written communication skills. Preferred Qualifications Experience working with large-scale datasets, advanced machine learning systems, or production data science workflows. Experience with PyTorch, Tensor Flow, scikit-learn, XGBoost, or similar machine learning frameworks. Familiarity with AI, generative AI, LLMs, AI model evaluation, or data annotation. Experience with A/B testing, experimentation, causal inference, time-series analysis, or advanced statistical methods. Familiarity with cloud platforms, distributed computing, MLOps, or data engineering workflows. Prior experience with AI evaluation, technical review, or model quality assessment projects. Compensation Competitive compensation of $120–$170/hour. Weekly payments. Independent contractor engagement. Application Process Easy Apply on Linked InCheck Email for Next Steps Participate in Resume Evaluation & Interview Stage

Role Overview The Data Analyst (H/F) plays a key role in transforming raw data into meaningful insights that support strategic and operational decision-making. This position is responsible for collecting, analyzing, and interpreting large datasets to identify trends, measure performance, and provide actionable recommendations. Working closely with cross-functional teams, the Data Analyst ensures data accuracy, contributes to reporting processes, and enhances the organization’s ability to make data-driven decisions. This role requires strong analytical skills, attention to detail, and the ability to communicate complex information clearly. Key Responsibilities• Gather, clean, and validate data from internal and external sources to ensure reliability and consistency. • Analyze large datasets to identify patterns, correlations, and key business insights. • Build and maintain dashboards, reports, and visualizations to support ongoing business needs. • Collaborate with teams across marketing, operations, finance, and product to understand data requirements. • Support the creation of statistical models and forecasting tools. • Monitor key performance indicators (KPIs) and produce regular performance updates. • Prepare presentations and summaries that translate data findings into actionable insights for stakeholders. • Ensure data integrity by identifying anomalies, inconsistencies, and improvement opportunities. • Document analytical processes, methodologies, and data definitions. • Stay informed about analytical tools, data governance practices, and industry trends to improve processes. Qualifications and Requirements• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. • 1–3 years of experience in data analysis, business intelligence, or a similar role. • Proficiency in analytical tools and languages such as Excel, SQL, Python, or R. • Experience with data visualization platforms such as Tableau, Power BI, or similar tools. • Strong understanding of statistical analysis, data modeling, and reporting principles. • Excellent problem-solving skills and high attention to detail. • Ability to communicate technical findings clearly to non-technical audiences. • Strong organizational and time-management abilities with the capacity to handle multiple tasks. • Collaborative mindset and ability to work effectively with cross-functional teams. • Proactive, curious, and motivated to continuously improve analytical skills and processes. Summary The Data Analyst (H/F) plays an essential role in leveraging data to drive business performance. Through thorough analysis, reporting, and collaboration, this role ensures that the organization has accurate, actionable insights to support decision-making. It is well-suited for analytical professionals who enjoy working with data and contributing to strategic growth.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Data Protection &amp; DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed.<br> 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.<br> Key Responsibilities: Translate data classification into practical controls — defining what data is sensitive and how it must be protected.<br> Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.<br> Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.<br> Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.<br> Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.<br> Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.<br> Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.<br> Arabic Speakers 6 years of relevant experience in data protection, DLP design, and governance.<br> Strong understanding of data classification frameworks and how to operationalize them into technical controls.<br> Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.<br> Ability to define secure configuration baselines and exception-handling processes.<br> Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.<br> Strong documentation skills for audit evidence, runbooks, and SOPs.<br> Strong communication skills to deliver training and knowledge transfer to internal teams.<br></span> </div>

Role Overview<br>The Data Catalogue Specialist will be responsible for implementing and managing Microsoft Purview as ADC’s enterprise metadata management and data governance platform. The role will establish metadata cataloguing, glossary management, classification, lineage, and data governance processes across all in-scope data assets while supporting formal DGE and DDA governance requirements.<br>Key Responsibilities<br>Microsoft Purview Administration<br>• Configure and administer Microsoft Purview for ADC.<br>• Establish collection hierarchies aligned with ADC business domains and the Government Information Model (GIM).<br>• Register and maintain all in-scope data sources including:<br>o IBM DB2 Warehouse.<br>o Databricks Unity Catalog.<br>o IBM Data Stage.<br>• Manage asset ownership, stewardship assignments, and governance records.<br>Metadata Discovery and Cataloguing<br>• Execute automated metadata scans across all in-scope datasets using Purview native connectors.<br>• Capture and maintain technical metadata including:<br>o Asset names.<br>o Schemas.<br>o Data types.<br>o Nullability.<br>o Column-level statistics.<br>o Refresh frequencies.<br>• Configure Databricks Unity Catalog integration to ensure ongoing automated metadata harvesting.<br>Business Glossary Management<br>• Design, build, and maintain the Microsoft Purview Business Glossary.<br>• Create and manage GIM-aligned business terms, definitions, ownership assignments, and stewardship relationships.<br>• Ensure all in-scope data elements are linked to relevant glossary terms.<br>• Synchronise approved glossary content with DGE’s central Purview environment using Purview APIs.<br>Classification and Information Protection<br>• Configure and manage Purview classification rules.<br>• Apply Microsoft Information Protection (MIP) sensitivity labels across all in-scope assets.<br>• Coordinate with business stakeholders to classify assets as:<br>o Public.<br>o Internal.<br>o Confidential.<br>o Secret.<br>• Manage Secret Data Exclusion processes and maintain audit and notification registers.<br>Data Lineage Management<br>• Design, configure, and validate end-to-end lineage across ADC data platforms.<br>• Document lineage across:<br>o Landing.<br>o Staging.<br>o IDM.<br>o Semantic layers.<br>o Databricks Bronze, Silver, and Gold environments.<br>• Implement Databricks lineage integration using native Purview capabilities.<br>• Configure Data Stage lineage through Atlas Process entities where required.<br>Data Quality Metadata Integration<br>• Surface Databricks data quality metrics within Microsoft Purview.<br>• Configure custom asset attributes including:<br>o DQI Score.<br>o Rule Pass Rate.<br>o Last Profiled Date.<br>• Ensure users can assess data quality directly from catalogued assets without requiring separate tooling.<br>Governance and Compliance<br>• Prepare metadata management artefacts for formal DGE and DDA review.<br>• Produce and maintain:<br>o Metadata templates.<br>o Classification registers.<br>o Lineage diagrams.<br>o Governance documentation.<br>• Manage review cycles, incorporate feedback, and maintain version-controlled catalogue artefacts.<br>Required Skills and Experience<br>• Strong experience implementing and administering Microsoft Purview.<br>• Experience with enterprise metadata management, data cataloguing, and business glossary management.<br>• Knowledge of Microsoft Information Protection (MIP) and data classification frameworks.<br>• Experience configuring and validating enterprise data lineage.<br>• Understanding of Databricks, Unity Catalog, IBM DB2 Warehouse, and Data Stage environments.<br>• Experience with REST APIs and metadata integration processes.<br>• Strong stakeholder engagement and data governance experience.<br>• Knowledge of government data governance and information management frameworks is desirable.<br>Deliverables<br>• Configured Microsoft Purview environment.<br>• Metadata catalogue covering all in-scope assets.<br>• Business glossary and GIM-aligned terminology.<br>• Classification and sensitivity labelling registers.<br>• End-to-end lineage documentation.<br>• Data quality metadata integration.<br>• DGE/DDA review and approval artefacts.

Role Overview<br>The Data Catalogue Specialist will be responsible for implementing and managing Microsoft Purview as ADC’s enterprise metadata management and data governance platform. The role will establish metadata cataloguing, glossary management, classification, lineage, and data governance processes across all in-scope data assets while supporting formal DGE and DDA governance requirements.<br>Key Responsibilities<br>Microsoft Purview Administration<br>• Configure and administer Microsoft Purview for ADC.<br>• Establish collection hierarchies aligned with ADC business domains and the Government Information Model (GIM).<br>• Register and maintain all in-scope data sources including:<br>o IBM DB2 Warehouse.<br>o Databricks Unity Catalog.<br>o IBM Data Stage.<br>• Manage asset ownership, stewardship assignments, and governance records.<br>Metadata Discovery and Cataloguing<br>• Execute automated metadata scans across all in-scope datasets using Purview native connectors.<br>• Capture and maintain technical metadata including:<br>o Asset names.<br>o Schemas.<br>o Data types.<br>o Nullability.<br>o Column-level statistics.<br>o Refresh frequencies.<br>• Configure Databricks Unity Catalog integration to ensure ongoing automated metadata harvesting.<br>Business Glossary Management<br>• Design, build, and maintain the Microsoft Purview Business Glossary.<br>• Create and manage GIM-aligned business terms, definitions, ownership assignments, and stewardship relationships.<br>• Ensure all in-scope data elements are linked to relevant glossary terms.<br>• Synchronise approved glossary content with DGE’s central Purview environment using Purview APIs.<br>Classification and Information Protection<br>• Configure and manage Purview classification rules.<br>• Apply Microsoft Information Protection (MIP) sensitivity labels across all in-scope assets.<br>• Coordinate with business stakeholders to classify assets as:<br>o Public.<br>o Internal.<br>o Confidential.<br>o Secret.<br>• Manage Secret Data Exclusion processes and maintain audit and notification registers.<br>Data Lineage Management<br>• Design, configure, and validate end-to-end lineage across ADC data platforms.<br>• Document lineage across:<br>o Landing.<br>o Staging.<br>o IDM.<br>o Semantic layers.<br>o Databricks Bronze, Silver, and Gold environments.<br>• Implement Databricks lineage integration using native Purview capabilities.<br>• Configure Data Stage lineage through Atlas Process entities where required.<br>Data Quality Metadata Integration<br>• Surface Databricks data quality metrics within Microsoft Purview.<br>• Configure custom asset attributes including:<br>o DQI Score.<br>o Rule Pass Rate.<br>o Last Profiled Date.<br>• Ensure users can assess data quality directly from catalogued assets without requiring separate tooling.<br>Governance and Compliance<br>• Prepare metadata management artefacts for formal DGE and DDA review.<br>• Produce and maintain:<br>o Metadata templates.<br>o Classification registers.<br>o Lineage diagrams.<br>o Governance documentation.<br>• Manage review cycles, incorporate feedback, and maintain version-controlled catalogue artefacts.<br>Required Skills and Experience<br>• Strong experience implementing and administering Microsoft Purview.<br>• Experience with enterprise metadata management, data cataloguing, and business glossary management.<br>• Knowledge of Microsoft Information Protection (MIP) and data classification frameworks.<br>• Experience configuring and validating enterprise data lineage.<br>• Understanding of Databricks, Unity Catalog, IBM DB2 Warehouse, and Data Stage environments.<br>• Experience with REST APIs and metadata integration processes.<br>• Strong stakeholder engagement and data governance experience.<br>• Knowledge of government data governance and information management frameworks is desirable.<br>Deliverables<br>• Configured Microsoft Purview environment.<br>• Metadata catalogue covering all in-scope assets.<br>• Business glossary and GIM-aligned terminology.<br>• Classification and sensitivity labelling registers.<br>• End-to-end lineage documentation.<br>• Data quality metadata integration.<br>• DGE/DDA review and approval artefacts.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ABOUT US | Whiteshield is a global advisory firm operating at the intersection of strategy, public policy, and digital transformation.<br> We partner with governments and leading enterprises to design and deliver initiatives that drive economic competitiveness, digital enablement, and long-term growth.<br> Our work combines strategic advisory with hands-on execution.<br> We support senior decision-makers in navigating complex regulatory, economic, and technological environments, translating ambition into structured programmes, delivery frameworks, and measurable outcomes.<br> Unlike traditional consultancies that focus solely on recommendations, we remain engaged through implementation; ensuring transformation is not only designed but realized.<br> WHERE YOU FIT IN | We’re building data platforms and architectures that sit at the core of national and enterprise transformation programmes, powering decision-making, AI systems, and digital services at scale.<br> Data is not a byproduct here; it is foundational.<br> From designing interoperable data ecosystems across institutions to enabling AI-ready infrastructure, we work at the intersection of engineering, analytics, and strategy.<br> We’re looking for a Data Architect who can operate across both vision and execution.<br> You will define how data is structured, governed, and activated; ensuring it is reliable, scalable, and ready to drive real-world impact.<br> You’re comfortable working in complex, multi-stakeholder environments, translating ambiguous requirements into clear data models, architectures, and standards.<br> You understand how modern data platforms support AI, analytics, and operational systems and how to design them accordingly.<br> You’ll work closely with engineers, analysts, policymakers, and client stakeholders to build data ecosystems that are not only technically sound, but also usable, trusted, and aligned to strategic outcomes.<br> WHAT YOU WILL DO | Design and implement scalable, secure, and high-performing data architectures across cloud and hybrid environments Define enterprise data models, standards, and governance frameworks to ensure consistency and interoperability Architect modern data platforms (data lakes, warehouses, lakehouses) to support analytics, AI, and operational use cases Lead client engagements as a trusted advisor on data strategy, architecture, and platform design Translate business and policy objectives into structured data solutions and pipelines Establish data governance practices including data quality, lineage, cataloguing, and access control Design data integration strategies across multiple systems, APIs, and external data sources Enable AI and advanced analytics use cases by ensuring data is structured, accessible, and production-ready Collaborate with engineering teams to implement pipelines, orchestration, and real-time/streaming architectures Balance long-term architecture vision with rapid delivery in dynamic environments OUR CORE TECH STACK | Data Platforms: Azure Data Factory, Synapse, Databricks, BigQuery, Snowflake Databases: Postgres, MSSQL, MongoDB, Elasticsearch Processing: Spark, Python, SQL Cloud: Azure, AWS, or GCP Orchestration: Airflow, Prefect, or similar DevOps: CI/CD, Docker, Terraform Analytics &amp; BI: Power BI, Tableau, Looker Meaningful impact Your work helps shape products used at national scale - enabling people to access services, opportunities, and support that make a real difference in everyday lives.<br> Creative freedom You will have room to explore ideas, test approaches, and raise the bar for design quality - even in complex, regulated environments.<br> We value thoughtful experimentation and encourage new ways of working.<br> High-calibre collaboration You’ll work alongside talented people across policy, data, design, and technology - bringing different perspectives together to solve complex problems well.<br> Flexibility that works We operate in an outcome-driven, remote-friendly way that respects individual working styles.<br> Trust, autonomy, and balance are core to how we work.<br> Supportive culture You will join a team that values respect, inclusion, and wellbeing - where people are encouraged to do their best work without burning out.<br> WHAT YOU’LL BRING | 7+ years data architecture with deep Oracle and SQL Server expertise Informatica PowerCenter (or equivalent ETL platform) Change Data Capture (CDC) for incremental and near real-time sync Complex source-to-target mapping across large schema landscapes Bidirectional sync with conflict resolution strategies Data quality profiling, validation, and reconciliation frameworks Data governance, lineage tracking, and metadata cataloguing Good to have: Domain-driven data modelling (database-per-service patterns) Liquibase or equivalent schema change management Physical schema design from logical/conceptual model WHAT WE VALUE | Curiosity and action: You take initiative and explore new ideas Empathy and clarity: You’re a strong communicator and collaborator Delivery and impact: You’re focused on outcomes, not just outputs Passion and adaptability: You bring energy, depth, and flexibility to your work</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Implement data classification solutions using Microsoft Purview and other relevant tools</p></li><li><p>Develop and maintain data classification policies and procedures</p></li><li><p>Provide guidance and recommendations on data security best practices</p></li><li><p>Collaborate with cross-functional teams to ensure data compliance and governance</p></li><li><p>Conduct data risk assessments and identify areas for improvement</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience working with data classification tools, particularly Microsoft Purview</p></li><li><p>In-depth knowledge of data privacy regulations and compliance requirements</p></li><li><p>Strong analytical and problem-solving skills</p></li><li><p>Excellent communication and stakeholder management skills</p></li><li><p>Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified Information Privacy Professional (CIPP) are a plus</p></li></ul><p></p></section>

Our client Ribbit Z is hiring a Data Catalogue Specialist (Microsoft Purview) in Abu Dhabi.<br>Role Overview<br>The Data Catalogue Specialist will be responsible for implementing and managing Microsoft Purview as ADC’s enterprise metadata management and data governance platform. The role will establish metadata cataloguing, glossary management, classification, lineage, and data governance processes across all in-scope data assets while supporting formal DGE and DDA governance requirements.<br>Key Responsibilities<br>Microsoft Purview Administration<br>• Configure and administer Microsoft Purview for ADC.<br>• Establish collection hierarchies aligned with ADC business domains and the Government Information Model (GIM).<br>• Register and maintain all in-scope data sources including:<br>o IBM DB2 Warehouse.<br>o Databricks Unity Catalog.<br>o IBM Data Stage.<br>• Manage asset ownership, stewardship assignments, and governance records.<br>Metadata Discovery and Cataloguing<br>• Execute automated metadata scans across all in-scope datasets using Purview native connectors.<br>• Capture and maintain technical metadata including:<br>o Asset names.<br>o Schemas.<br>o Data types.<br>o Nullability.<br>o Column-level statistics.<br>o Refresh frequencies.<br>• Configure Databricks Unity Catalog integration to ensure ongoing automated metadata harvesting.<br>Business Glossary Management<br>• Design, build, and maintain the Microsoft Purview Business Glossary.<br>• Create and manage GIM-aligned business terms, definitions, ownership assignments, and stewardship relationships.<br>• Ensure all in-scope data elements are linked to relevant glossary terms.<br>• Synchronise approved glossary content with DGE’s central Purview environment using Purview APIs.<br>Classification and Information Protection<br>• Configure and manage Purview classification rules.<br>• Apply Microsoft Information Protection (MIP) sensitivity labels across all in-scope assets.<br>• Coordinate with business stakeholders to classify assets as:<br>o Public.<br>o Internal.<br>o Confidential.<br>o Secret.<br>• Manage Secret Data Exclusion processes and maintain audit and notification registers.<br>Data Lineage Management<br>• Design, configure, and validate end-to-end lineage across ADC data platforms.<br>• Document lineage across:<br>o Landing.<br>o Staging.<br>o IDM.<br>o Semantic layers.<br>o Databricks Bronze, Silver, and Gold environments.<br>• Implement Databricks lineage integration using native Purview capabilities.<br>• Configure Data Stage lineage through Atlas Process entities where required.<br>Data Quality Metadata Integration<br>• Surface Databricks data quality metrics within Microsoft Purview.<br>• Configure custom asset attributes including:<br>o DQI Score.<br>o Rule Pass Rate.<br>o Last Profiled Date.<br>• Ensure users can assess data quality directly from catalogued assets without requiring separate tooling.<br>Governance and Compliance<br>• Prepare metadata management artefacts for formal DGE and DDA review.<br>• Produce and maintain:<br>o Metadata templates.<br>o Classification registers.<br>o Lineage diagrams.<br>o Governance documentation.<br>• Manage review cycles, incorporate feedback, and maintain version-controlled catalogue artefacts.<br>Required Skills and Experience<br>• Strong experience implementing and administering Microsoft Purview.<br>• Experience with enterprise metadata management, data cataloguing, and business glossary management.<br>• Knowledge of Microsoft Information Protection (MIP) and data classification frameworks.<br>• Experience configuring and validating enterprise data lineage.<br>• Understanding of Databricks, Unity Catalog, IBM DB2 Warehouse, and Data Stage environments.<br>• Experience with REST APIs and metadata integration processes.<br>• Strong stakeholder engagement and data governance experience.<br>• Knowledge of government data governance and information management frameworks is desirable.<br>Deliverables<br>• Configured Microsoft Purview environment.<br>• Metadata catalogue covering all in-scope assets.<br>• Business glossary and GIM-aligned terminology.<br>• Classification and sensitivity labelling registers.<br>• End-to-end lineage documentation.<br>• Data quality metadata integration.<br>• DGE/DDA review and approval artefacts.

Our client Ribbit Z is hiring a Data Catalogue Specialist (Microsoft Purview) in Abu Dhabi.<br>Role Overview<br>The Data Catalogue Specialist will be responsible for implementing and managing Microsoft Purview as ADC’s enterprise metadata management and data governance platform. The role will establish metadata cataloguing, glossary management, classification, lineage, and data governance processes across all in-scope data assets while supporting formal DGE and DDA governance requirements.<br>Key Responsibilities<br>Microsoft Purview Administration<br>• Configure and administer Microsoft Purview for ADC.<br>• Establish collection hierarchies aligned with ADC business domains and the Government Information Model (GIM).<br>• Register and maintain all in-scope data sources including:<br>o IBM DB2 Warehouse.<br>o Databricks Unity Catalog.<br>o IBM Data Stage.<br>• Manage asset ownership, stewardship assignments, and governance records.<br>Metadata Discovery and Cataloguing<br>• Execute automated metadata scans across all in-scope datasets using Purview native connectors.<br>• Capture and maintain technical metadata including:<br>o Asset names.<br>o Schemas.<br>o Data types.<br>o Nullability.<br>o Column-level statistics.<br>o Refresh frequencies.<br>• Configure Databricks Unity Catalog integration to ensure ongoing automated metadata harvesting.<br>Business Glossary Management<br>• Design, build, and maintain the Microsoft Purview Business Glossary.<br>• Create and manage GIM-aligned business terms, definitions, ownership assignments, and stewardship relationships.<br>• Ensure all in-scope data elements are linked to relevant glossary terms.<br>• Synchronise approved glossary content with DGE’s central Purview environment using Purview APIs.<br>Classification and Information Protection<br>• Configure and manage Purview classification rules.<br>• Apply Microsoft Information Protection (MIP) sensitivity labels across all in-scope assets.<br>• Coordinate with business stakeholders to classify assets as:<br>o Public.<br>o Internal.<br>o Confidential.<br>o Secret.<br>• Manage Secret Data Exclusion processes and maintain audit and notification registers.<br>Data Lineage Management<br>• Design, configure, and validate end-to-end lineage across ADC data platforms.<br>• Document lineage across:<br>o Landing.<br>o Staging.<br>o IDM.<br>o Semantic layers.<br>o Databricks Bronze, Silver, and Gold environments.<br>• Implement Databricks lineage integration using native Purview capabilities.<br>• Configure Data Stage lineage through Atlas Process entities where required.<br>Data Quality Metadata Integration<br>• Surface Databricks data quality metrics within Microsoft Purview.<br>• Configure custom asset attributes including:<br>o DQI Score.<br>o Rule Pass Rate.<br>o Last Profiled Date.<br>• Ensure users can assess data quality directly from catalogued assets without requiring separate tooling.<br>Governance and Compliance<br>• Prepare metadata management artefacts for formal DGE and DDA review.<br>• Produce and maintain:<br>o Metadata templates.<br>o Classification registers.<br>o Lineage diagrams.<br>o Governance documentation.<br>• Manage review cycles, incorporate feedback, and maintain version-controlled catalogue artefacts.<br>Required Skills and Experience<br>• Strong experience implementing and administering Microsoft Purview.<br>• Experience with enterprise metadata management, data cataloguing, and business glossary management.<br>• Knowledge of Microsoft Information Protection (MIP) and data classification frameworks.<br>• Experience configuring and validating enterprise data lineage.<br>• Understanding of Databricks, Unity Catalog, IBM DB2 Warehouse, and Data Stage environments.<br>• Experience with REST APIs and metadata integration processes.<br>• Strong stakeholder engagement and data governance experience.<br>• Knowledge of government data governance and information management frameworks is desirable.<br>Deliverables<br>• Configured Microsoft Purview environment.<br>• Metadata catalogue covering all in-scope assets.<br>• Business glossary and GIM-aligned terminology.<br>• Classification and sensitivity labelling registers.<br>• End-to-end lineage documentation.<br>• Data quality metadata integration.<br>• DGE/DDA review and approval artefacts.

Title: Data Engineer/ Architect (Python, Spark, Databricks, Data Lake) Location: Dubai, UAE (Hybrid) Employment Contract.<br>Job Description: - 10+ years of experience for Data Lake Engineer- Strong experience with Python, SQL and languages like PySpark and distributed data processing frameworks using Spark- Hands-on experience in Data Lake- Experience with CI/CD tools and infrastructure automation- Experience deploying CI/CD pipelines in cloud environments- Strong understanding of data modeling, ETL, and batch/stream processing.- Should be aware of agile terminologies Mandatory skills* - Python, Spark, Databricks, CI/CD, Docker, Kubernetes, Cloud deployment, Data pipelines, - The role needs strong Python skills and should have strong Data lake concepts.- They should handle CI/CD deployment tracking. Desired skills* - Knowledge of containerization and orchestration (Docker, Kubernetes) will be a nice to have skill.

We are hiring Data Analyst to join one of our major clients based in Dubai, UAE.<br>Job Location - Dubai, UAEJob Type - 12 months Contract (Extendable)<br>About Role We are seeking a detail-oriented and analytical Data Analyst with experience in Anti-Money Laundering (AML) to support our AML team.<br>Required Skills3–8 years of experience as a Data Analyst with AML domains. Strong proficiency in Azure Data Lake- SQL for data extraction, transformation, and analysis. Experience with data visualization and reporting tools such as Power BI. Knowledge of AML, KYC related domains. Bachelor's degree in Data Analytics, Computer Science, Statistics or a related field.

Job Description: Collect, process, and analyze data to provide actionable insights that support business decisions. Develop and maintain dashboards, reports, and data visualization tools to track key performance indicators (KPIs). Work closely with cross-functional teams to identify data trends, patterns, and opportunities for process improvement. Clean, validate, and interpret large datasets from multiple sources to ensure data accuracy and consistency. Assist in developing predictive models and automation tools to enhance data-driven decision-making. Present findings and recommendations to management and stakeholders in a clear, concise manner. Requirements: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Proven experience in data analysis, business intelligence, or similar analytical roles. Proficiency in SQL, Excel, and data visualization tools such as Power BI or Tableau. Knowledge of Python or R for data processing and statistical analysis is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work independently and handle multiple projects simultaneously. Benefits: Competitive salary with performance-based bonuses. Opportunities for professional growth and advanced data training. Collaborative and innovative work culture. Flexible or hybrid working arrangements.

Job Description: Collect, process, and analyze data to provide actionable insights that support business decisions. Develop and maintain dashboards, reports, and data visualization tools to track key performance indicators (KPIs). Work closely with cross-functional teams to identify data trends, patterns, and opportunities for process improvement. Clean, validate, and interpret large datasets from multiple sources to ensure data accuracy and consistency. Assist in developing predictive models and automation tools to enhance data-driven decision-making. Present findings and recommendations to management and stakeholders in a clear, concise manner. Requirements: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Proven experience in data analysis, business intelligence, or similar analytical roles. Proficiency in SQL, Excel, and data visualization tools such as Power BI or Tableau. Knowledge of Python or R for data processing and statistical analysis is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work independently and handle multiple projects simultaneously. Benefits: Competitive salary with performance-based bonuses. Opportunities for professional growth and advanced data training. Collaborative and innovative work culture. Flexible or hybrid working arrangements.

Position Summary<br><br>The Senior Data Engineer is responsible for designing, developing, owning, and optimizing the organization’s enterprise data platform. The role ensures that data is reliable, accessible, secure, and fit for use across analytics, reporting and advanced data use cases.<br><br>Responsibility Description<br><br>Data Platform & Pipeline Ownership<br><br>Design, build, and maintain scalable and reliable batch and streaming data pipelines. Own end-to-end data ingestion, transformation, storage and retrieval processes. Ensure high availability, scalability and performance of the enterprise data platform. Monitor and resolve data pipeline failures and production issues. <br><br>Data Quality, Governance & Security<br><br>Implement data quality checks, validation, and monitoring mechanisms. Ensure consistency, accuracy, and integrity of data across systems. Contribute to data governance standards, documentation, and lineage. Ensure compliance with data security, privacy, and regulatory requirements. <br><br>Automation & Platform Management<br><br>Automate deployment, monitoring, and maintenance of the data platform. Ensure platform stability through proactive monitoring and performance tuning Conduct root cause analysis and implement preventive measures for recurring issues. <br><br>Analytics & Query Performance<br><br>Optimize data structures and models to support analytics and reporting workloads Tune data processing and query performance to meet business and operational SLAsDrive continuous improvement and future enhancements to the data platform <br><br>Responsibility Description Continue.<br><br>Architecture<br><br>Contribute to the design and evolution of the organization’s data architecture Define and enforce data engineering standards, patterns, and best practices <br><br>Guiding Junior Team Members<br><br>Provides technical expertise to new and/or junior members in the team to guide them on a day-to-day basis and help them scale up faster <br><br>Self-Development<br><br>Strives to achieve the highest levels of proficiency on all the competencies and skills required to perform the role. Identifies the training and development requirements for self and agrees on them with manager to ensure that the required trainings are arranged and attended. Sets the performance goals in the beginning of the year after discussion with the manager and ensures that the goals are achieved during the year <br><br>Responsibility Description Continue..<br><br>Policies, Systems, Processes and Procedures<br><br>Implements procedures and controls covering all areas relevant to the role so that procedural/legislative requirements are fulfilled while delivering a quality, cost effective service. Ensure that the design and the development of the software, is in line with industry’s best security standards, practices, or methodologies. Ensure that the information security framework and all relevant procedures, standards and practices are followed by all team members. Build appropriate controls into business application software so that the business activity it supports is secure and reliable <br><br>Quality Management<br><br>Complies with all relevant quality management procedures and controls to guarantee compliance and delivery of high-quality products/service <br><br>Responsibility Description Continue...<br><br>Quality Management and Continuous Improvement <br><br>Ensures compliance to all relevant quality management procedures and controls to guarantee compliance and delivery of high-quality products/service. Stimulates and contributes to the identification of opportunities for continuous improvement of systems, processes and practices considering best practices, improvement of business processes, cost reduction and productivity improvement <br><br>MIS and Reports<br><br>Prepares timely and accurate MIS statements and reports as required <br><br>#LN<br><br>Academic/ Vocational Qualifications<br><br>Minimum bachelor’s degree in computer sciences / IT / Engineering Cloud or data engineering certifications are an advantage <br><br>Work Experience<br><br>Minimum 5 years of experience in building and maintaining enterprise-grade data lake platform Minimum 2 years’ experience with Oracle OCI or equivalent cloud platforms

Role Description The Compliance Analyst / Data Governance Manager role at Wolf's Den Engineering is a part-time, remote position focused on maintaining strong regulatory, financial, and data governance practices. This role involves monitoring and interpreting relevant regulations, assessing their impact on internal processes, and helping design policies and controls that support compliance. The individual will review and analyze financial and operational data, perform risk assessments, and support auditing activities to verify adherence to internal and external standards. Day-to-day tasks include preparing clear documentation and reports, collaborating with cross-functional teams to address compliance and data issues, and recommending improvements to enhance data quality, integrity, and security. The role also includes tracking remediation efforts, maintaining compliance records, and contributing to training and awareness initiatives related to data governance and regulatory requirements.<br>Qualifications<br> Strong regulatory compliance knowledge, including experience interpreting and applying relevant standards and guidelines. Advanced analytical skills for data review, risk assessment, and trend analysis to support data governance and decision-making. Effective communication skills to present findings, write clear reports, and collaborate with technical and non-technical stakeholders. Finance and auditing skills for evaluating controls, reviewing financial or operational records, and supporting internal or external audits. Experience with data governance frameworks, data quality practices, and basic data management or reporting tools. Ability to work independently in a remote, part-time environment while managing multiple priorities and deadlines. Bachelor’s degree in a relevant field such as Finance, Business, Data Management, or a related discipline, or equivalent practical experience. Familiarity with engineering or technology-focused organizations is beneficial, along with a commitment to ethical and inclusive practices.

Role Description The Compliance Analyst / Data Governance Manager role at Wolf's Den Engineering is a part-time, remote position focused on maintaining strong regulatory, financial, and data governance practices. This role involves monitoring and interpreting relevant regulations, assessing their impact on internal processes, and helping design policies and controls that support compliance. The individual will review and analyze financial and operational data, perform risk assessments, and support auditing activities to verify adherence to internal and external standards. Day-to-day tasks include preparing clear documentation and reports, collaborating with cross-functional teams to address compliance and data issues, and recommending improvements to enhance data quality, integrity, and security. The role also includes tracking remediation efforts, maintaining compliance records, and contributing to training and awareness initiatives related to data governance and regulatory requirements.<br>Qualifications<br> Strong regulatory compliance knowledge, including experience interpreting and applying relevant standards and guidelines. Advanced analytical skills for data review, risk assessment, and trend analysis to support data governance and decision-making. Effective communication skills to present findings, write clear reports, and collaborate with technical and non-technical stakeholders. Finance and auditing skills for evaluating controls, reviewing financial or operational records, and supporting internal or external audits. Experience with data governance frameworks, data quality practices, and basic data management or reporting tools. Ability to work independently in a remote, part-time environment while managing multiple priorities and deadlines. Bachelor’s degree in a relevant field such as Finance, Business, Data Management, or a related discipline, or equivalent practical experience. Familiarity with engineering or technology-focused organizations is beneficial, along with a commitment to ethical and inclusive practices.

Role Description The Senior Data Analyst will play a key role in supporting data-driven decision-making for Power Platform User Group UAE and its initiatives. This part-time, hybrid role is based in Abu Dhabi, with flexibility for some work from home. Day-to-day responsibilities include collecting, cleaning, and analyzing data from events, community activities, and digital platforms to generate actionable insights and performance reports. The Senior Data Analyst will build and maintain data models and dashboards, identify trends and opportunities to improve engagement and impact, and present findings to leadership and stakeholders in a clear and accessible way. The role also involves collaborating with technical and business teams to define metrics, optimize data processes, and support strategic planning. Qualifications Strong analytical skills and experience in data analytics to interpret complex datasets and derive insights. Solid understanding of statistics and statistical methods for reporting, forecasting, and performance measurement. Proficiency in data modeling, including designing and maintaining data structures, dashboards, and reports. Effective communication skills to present data findings clearly to both technical and non-technical stakeholders. Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) or similar analytics tools is highly beneficial. Proficiency in SQL, Excel, and at least one data visualization tool (e.g., Power BI, Tableau) is an advantage. Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, or equivalent practical experience. Ability to work independently in a hybrid environment, manage part-time hours effectively, and collaborate within a community-driven organization.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a seasoned Governance, Risk, and Compliance Data Privacy Officer to lead and strengthen our data privacy program in the United Arab Emirates. This role will drive privacy governance frameworks, risk management, and regulatory compliance to ensure the protection of personal data across our operations.</p><br><strong>Responsibilities:</strong><br><ul><li>Develop, implement, and maintain data privacy policies, procedures, and standards in line with GDPR, UAE Data Protection Law, and other global regulations</li><li>Design and manage governance frameworks to ensure consistent application of privacy controls across the organization</li><li>Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and vendor risk assessments</li><li>Identify, assess, monitor, and report data privacy risks, incidents, and remediation actions to senior management</li><li>Collaborate with cross-functional teams to integrate privacy requirements into business processes and technology projects</li><li>Lead data breach response activities, including investigation, notification, and remediation</li><li>Develop and deliver training and awareness programs on data privacy, risk management, and regulatory compliance</li><li>Prepare regular reports and dashboards on privacy metrics, compliance posture, and risk trends</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>Bachelor’s degree in Law, Information Security, or a related field</li><li>5–10 years of professional experience in data privacy, governance, risk management, or compliance roles</li><li>Technical expertise in data privacy compliance tools, methodologies, and GDPR requirements</li><li>Proven experience in designing and implementing governance frameworks and risk management processes</li><li>Strong knowledge of global regulatory compliance requirements, including GDPR and UAE Data Protection Law</li><li>Excellent communication, stakeholder management, and presentation skills</li><li>Ability to lead privacy impact assessments and manage cross-functional privacy initiatives</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certifications such as CIPP/E, CIPM, CISM, or CRISC</li><li>Experience with ISO 27701, ISO 27001, or other information security standards</li><li>Advanced degree (Master’s) in Law, Information Security, or related field</li><li>Prior experience working in multinational organizations or regulated industries</li><li>Familiarity with local UAE regulatory environment and Data Office requirements</li></ul><br></div></section>