Senior Data Engineer - Microsoft Fabric & Azure

In this role you will own end-to-end data-platform delivery, focusing on Microsoft Fabric and the Azure Data Platform. You’ll collaborate with architects, analysts and clients to transform designs into secure, scalable solutions, mentor engineers and drive production-grade deployments. The position sits within Agilisys’ Data & AI Practice and supports moving legacy platforms to modern, governed data capabilities. The role offers hands-on delivery, governance, and opportunities to influence engineering standards in the public sector context.

• Enhanced Pension Scheme
• Life Assurance
• Perks at Work discounts
• 25 days annual leave

• Deliver Fabric and Azure data platforms end to end, building and productionising data solutions with Fabric components
• Engineer reliable data pipelines and models using batch, incremental and near-real-time ETL/ELT
• Own Dev/Test/Production delivery with CI/CD, including Git-based promotions and release governance
• Implement secure-by-design controls and governance (Entra ID, RBAC, Purview) in collaboration with governance specialists
• Tune and monitor production workloads, diagnose failures and ensure data quality and performance
• Support Power BI consumption and governance, enabling semantic models and optimized data delivery
• Lead engineering delivery and handover with clear documentation and knowledge transfer
• Collaborate with stakeholders and mentor engineers to align with architecture and engineering standards

• 5+ years of commercial data engineering experience at senior level with strong recent Fabric delivery
• Proven Fabric experience across OneLake, Lakehouse, Warehouse, Data Pipelines, Notebooks, and workspace patterns
• Advanced SQL, Python and PySpark; experience with Delta/Parquet and medallion architecture
• Git and CI/CD experience (Azure DevOps and/or GitHub) with controlled release and rollback
• Azure data-platform experience including Azure Data Factory and secure connectivity patterns
• Power BI integration knowledge (Direct Lake/Import, refresh, RLS/OLS, performance considerations)
• Microsoft Entra ID, RBAC and secure engineering, plus runbooks and documentation
• Strong stakeholder management, mentoring, and communication; experience in fast-moving, multidisciplinary teams
• Public-sector/local government or regulated environment experience and security clearance eligibility

• stakeholder management
• mentoring
• effective communication
• Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Pipelines, Notebooks, Dataflows)
• SQL, Python, PySpark
• Delta/Parquet, medallion architecture