Data Entry Jobs in UAE

We're looking for a VP Data Engineering to help build and scale a world-class enterprise data platform that sits at the heart of investment decision-making, analytics, and AI. This is an opportunity to shape the future data landscape of one of the region's most prestigious investment organisations, delivering scalable platforms that power innovation across the business.<br>What we need someone to do:Drive the design and delivery of a next-generation enterprise data platform Build cloud-native data solutions leveraging Snowflake, Databricks, and Azure Develop scalable data products that power investment, analytics, reporting, and AI use cases Lead the integration and management of complex market, portfolio, and third-party datasets Champion best practices across data quality, governance, observability, and platform performance Partner with Data Science, Analytics, and business teams to enable AI-ready data capabilities Masters or PhD in Computer Science, Data Engineering, Information Systems, or a related STEM discipline.<br>Why this opportunity stands out:Join one of the Middle East's most respected and influential investment organisations Play a key role in a major enterprise-wide data transformation programme Collaborate with exceptional talent across investment, technology, data, and AI functions Enjoy a highly competitive, tax-free package, including:Attractive monthly salary Annual performance bonus Full international medical coverage Visa sponsorship Relocation support (if applicable) Schooling allowance

Role: Data Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Human Data Manager, New Grad to work on a full-time basis. The role involves maintaining high-quality datasets used in AI model training and evaluation, ensuring accuracy and relevance of labeled information. Candidates will assist in refining data pipelines and improving annotation processes for machine learning applications.<br>Key Responsibilities:• Review and validate human-labeled data to ensure consistency and accuracy for AI training datasets• Identify and resolve discrepancies in data annotations by cross-referencing source materials and guidelines• Collaborate with cross-functional teams to refine annotation guidelines and improve data quality standards• Monitor and report on data labeling performance metrics to track progress and identify trends• Assist in documenting processes and maintaining records of data sources, labeling rules, and quality checks<br>Required Skills & Qualifications:• Experience with data annotation, labeling, or quality assurance processes is preferred• Familiarity with basic data validation techniques and attention to detail in reviewing datasets• Ability to follow structured guidelines and maintain consistency in data handling tasks• Basic understanding of AI/ML concepts and their dependence on high-quality training data is beneficial• Proficiency in using spreadsheets or data management tools to track and organize information<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of reliable AI systems through precise data management. The position provides exposure to real-world applications of data in machine learning workflows.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Company Description Vervali Systems, founded in 2010, is a global software engineering and testing firm focused on helping clients build scalable, user-centric products. Recognized as one of the fastest-growing IT companies by Clutch in 2023, Vervali now has a team of over 250 experienced professionals, including Quality Analysts, Automation Engineers, and Mobile and Web Developers. The company has delivered more than 350 high-quality software products across 12+ countries and serves over 200 clients in industries such as media, government, e-commerce, Saa S, and more. Vervali’s name reflects its core commitment to Verification and Validation, offering comprehensive Testing & QA and Development services to organizations ranging from startups to large enterprises. Team members join a culture that emphasizes quality, collaboration, and continuous improvement in software delivery.<br>Role: Risk Data Mart Lead – Functional & Technical SMEExperience: 8-10+ years Joining: Immediate to 15 days Location: UAE<br>We are looking for a strong functional and technical SME to lead the design and implementation of a Risk Data Mart for a financial institution. The role requires a deep understanding of banking risk data, data modelling, regulatory reporting, and enterprise data architecture. The candidate will work closely with Risk, Finance, Technology, Data Governance, and source-system teams to define requirements, data lineage, business rules, controls, and target data structures.<br>Key responsibilities:- Lead the Risk Data Mart from requirements through implementation.- Translate risk and regulatory requirements into functional and technical specifications.- Define data models, data mappings, calculations, lineage, reconciliation, and data-quality controls.- Coordinate integration across lending, treasury, collateral, customer, finance, and risk systems.- Manage stakeholders, delivery teams, dependencies, risks, and project governance.- Ensure the solution is scalable, auditable, and aligned with regulatory and internal reporting needs.<br>Preferred profile:- Strong banking risk-domain experience, including credit, market, liquidity, or operational risk.- Proven experience delivering Risk Data Marts, regulatory reporting platforms, or enterprise data warehouses.- Strong knowledge of SQL, ETL, data modelling, data governance, and reporting architectures.- Excellent stakeholder management and delivery leadership skills.

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)

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.

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>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>

<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>

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.

<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>

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.

<p>A skilled and analytical Data Analyst is needed to collect, process, and interpret data to support business decision-making. The ideal candidate should have strong analytical thinking, attention to detail, and the ability to transform data into meaningful insights. Freshers with strong technical skills are also welcome to apply.</p> <p>Responsibilities:<br /> Collect, clean, and organize large data sets<br /> Analyze data to identify trends, patterns, and insights<br /> Prepare reports, dashboards, and visualizations<br /> Support management with data-driven decision making<br /> Work with tools like Excel, Power BI, SQL, or similar<br /> Maintain data accuracy and integrity<br /> Collaborate with different departments for reporting needs</p> <p>Requirements:<br /> Bachelor’s degree in Data Science, IT, Statistics, Mathematics, or related field<br /> Knowledge of Excel and basic SQL (Power BI/Tableau is an advantage)<br /> Strong analytical and problem-solving skills<br /> Good attention to detail and accuracy<br /> Ability to interpret complex data into simple insights<br /> Good communication and reporting skills</p> <p>Salary &amp; Benefits:<br /> Competitive salary package<br /> Visa and accommodation as per UAE labor law<br /> Career growth opportunities<br /> Professional and dynamic work environment</p> <p>Apply Now: hr.globale@gmail.com</p>

<p>A skilled and analytical Data Analyst is needed to collect, process, and interpret data to support business decision-making. The ideal candidate should have strong analytical thinking, attention to detail, and the ability to transform data into meaningful insights. Freshers with strong technical skills are also welcome to apply.</p> <p>Responsibilities:<br /> Collect, clean, and organize large data sets<br /> Analyze data to identify trends, patterns, and insights<br /> Prepare reports, dashboards, and visualizations<br /> Support management with data-driven decision making<br /> Work with tools like Excel, Power BI, SQL, or similar<br /> Maintain data accuracy and integrity<br /> Collaborate with different departments for reporting needs</p> <p>Requirements:<br /> Bachelor’s degree in Data Science, IT, Statistics, Mathematics, or related field<br /> Knowledge of Excel and basic SQL (Power BI/Tableau is an advantage)<br /> Strong analytical and problem-solving skills<br /> Good attention to detail and accuracy<br /> Ability to interpret complex data into simple insights<br /> Good communication and reporting skills</p> <p>Salary &amp; Benefits:<br /> Competitive salary package<br /> Visa and accommodation as per UAE labor law<br /> Career growth opportunities<br /> Professional and dynamic work environment</p> <p>Apply Now: hr.globale@gmail.com</p>

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled <strong>Data &amp; Analytics Specialist</strong> to support our business owners in making data-driven decisions by designing and delivering robust analytical solutions. This role will be responsible for creating insightful dashboards and reports, translating business needs into technical solutions, and driving efficiency through data-driven insights. You will collaborate closely with stakeholders across functions to shape and execute BI initiatives using industry-leading tools like Power BI and Microsoft technologies.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Outlining the architecture as well as building visual analytics solutions via dashboards and reports.</p></li><li><p>Work closely with stakeholders to gather and analyse business needs and translate them into technical specifications.</p></li><li><p>Develop reports, scorecards, data exploration and visual analytics using existing and emerging tools and technologies.</p></li><li><p>Provide insights, perform analysis and manage the design, build and delivery of robust dashboards and reports to the business.</p></li><li><p>Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.</p></li><li><p>Work with Digital Core Team and business units to determine Bi project missions, goals, tasks, timelines and resource requirement.</p></li><li><p>Ensure the reports that are developed are tested and all defects and issues are tracked and managed to resolution.</p></li><li><p>Conceptualize complex Institutional problems, discovering business insights through visualization techniques, turning data into information, and information into insight and insight into business decisions.</p></li><li><p>Execute advanced data modelling capability to meet the reporting requirements by acquiring data from primary or secondary data sources and maintaining databases.</p></li><li><p>Collate the metrics, calculations and data for reports and dashboards and work with teams to standardize the reporting requirements.</p></li><li><p>Work closely with the business teams and interpret their BI needs in technical terms, and define the same to ensure adherence to all BI standards and best practices, document the business requirements, anticipated benefits, success criteria for analytics initiatives.</p></li><li><p>Develop, deploy and maintain PowerBI cubes, Data base queries.</p></li><li><p>Optimize data models and queries for performance and efficiency.</p></li><li><p>Research, review and analyse existing data and reporting outputs and systems and develop strategies for enhancing or leveraging these processes and systems.</p></li><li><p>Stay updated on industry trends and best practices in business intelligence and data visualization.</p></li><li><p>Identify, analyse, and interpret trends or patterns in complex data sets.</p></li><li><p>Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.</p></li><li><p>Work with management to prioritize business and information needs.</p></li><li><p>Locate and define new process improvement opportunities.</p></li><li><p>Other duties as needed based on business priorities/conditions.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor’s or Master’s degree in Computer Science, Engineering, Applications, or a related field.</p></li><li><p>Certification in Business Analysis is a plus.</p></li><li><p>Microsoft Azure certifications (e.g., DP-100, PL-300) or equivalent certifications from other cloud platforms are highly desirable.</p></li></ul><p><strong>Experience Requirements</strong></p><ul><li><p>4–6 years of experience in Analytics and Business Intelligence, primarily within the Microsoft BI ecosystem.</p></li><li><p>Proven track record in designing business-critical dashboards using Power BI with sources like SQL Server and Lakehouse.</p></li><li><p>At least 3 years of hands-on experience with Dynamics 365.</p></li><li><p>Experience in data warehousing, data lake architecture, and end-to-end BI lifecycle.</p></li><li><p>Proficient in Power BI (both cloud and on-premise versions), including DAX and performance tuning.</p></li><li><p>Solid background in dimensional data modeling (star and snowflake schema).</p></li><li><p>Experience working with SSAS, SSRS, and maintaining OLAP/Tabular cubes.</p></li><li><p>Experience integrating various data sources such as Excel, CSV, Azure SQL, Azure Data Warehouse, and Oracle.</p></li><li><p>Familiarity with Azure services like Databricks, DevOps, Data Lake, and Storage is a strong advantage.</p></li></ul><p><strong>Technical Skills &amp; Knowledge</strong></p><ul><li><p>Strong expertise in SQL Server, SSAS, SSIS, and SSRS.</p></li><li><p>Experience with database design, performance tuning, and writing complex SQL queries.</p></li><li><p>Knowledge of Microsoft Dynamics 365 architecture.</p></li><li><p>Advanced skills in Power BI report/dashboard design and deployment.</p></li><li><p>Experience in scripting languages such as Python or R is preferred.</p></li><li><p>Knowledge of RPA tools and predictive analytics is a plus.</p></li></ul><p></p></section>