About the Client

Our client is a well-established, diversified investment and holding group headquartered in the UAE, with investments and business interests spanning multiple sectors. They are looking for a Senior Microsoft Fabric Data Engineer to build and operate the Group's Microsoft Fabric data foundation, integrating enterprise application data into dependable, governed datasets for reporting, analytics and AI. The role will establish reusable engineering practices that improve data availability, quality and consistency while respecting business ownership and entity access boundaries.

Key Responsibilities

1. Design and implement Fabric pipelines, lakehouse or warehouse structures and curated data layers aligned with the approved Group architecture and agreed business priorities.
2. Integrate ERP, Oracle EPM, HR, procurement and other approved sources using supported interfaces and controlled extraction methods, coordinating source-system capacity and change windows.
3. Develop transformations, reusable models and analytical datasets. Agree definitions, reconciliation rules and acceptance criteria with Finance and entity business data owners.
4. Implement data validation, reconciliation, quality monitoring and exception handling so failed loads and material discrepancies are detected, assigned and resolved promptly.
5. Establish lineage, documentation, access controls and retention arrangements with data owners and cybersecurity; preserve entity and source-system access boundaries in shared data products.
6. Optimise pipeline performance, refresh schedules and Fabric capacity consumption while maintaining agreed service availability and recovery arrangements.
7. Implement source control, deployment processes, monitoring, recovery procedures and operational documentation; support live pipelines and resolve recurring reliability issues.
8. Provide governed data products for Power BI and AI applications, coordinating semantic models, business definitions and access requirements with application consumers.
9. Reduce unnecessary manual extracts and spreadsheet reconciliation. Improve source-data quality with application and entity owners, and document reusable pipelines and engineering standards.
10. Operate within the Group's federated technology model under the Head of Data and AI. Provide shared data capabilities and apply approved standards; business owners retain data-definition and quality accountability, while entity leadership retains local execution and line management. Escalate unresolved data and access exceptions through agreed governance.

Education Level

Bachelor's degree in computing, engineering, information systems or a related discipline, or equivalent relevant experience.

Relevant Microsoft Fabric, data engineering or Azure certifications preferred.

Work Experience

Typically 6+ years in data engineering or enterprise data platforms, including hands-on Microsoft Fabric delivery. Experience integrating ERP and finance data and supporting production pipelines is strongly preferred.

Technical Competencies

• Microsoft Fabric
• OneLake
• SQL
• Python/PySpark
• Data pipelines
• Dimensional modelling
• Lakehouse and warehouse design
• Power BI semantic models
• Reconciliation and data quality
• Data lineage
• Access controls
• Deployment automation
• Capacity optimisation