Lead Fabric Data Engineer

• Phase 1: Foundation & Governance: Set up Fabric workspaces, F-SKU capacity allocation, and Microsoft Purview RBAC security policies.
• Phase 2: Ingestion & Streaming: Implement Copy Jobs, Dataflow Gen2, and Eventstreams for Real Time CDC ingestion into a Bronze Lakehouse.
• Phase 3: Medallion Processing: Develop optimised PySpark/Spark SQL Notebooks transforming data from Bronze to Silver (conformed) and Gold (business aggregates) Delta tables.
• Phase 4: Serving Layer: Model Star/Snowflake schemas, optimising Direct Lake mode for Power BI and deploying GraphQL endpoints.
• Phase 5: DevOps: Connect Fabric development environments to production via automated Azure DevOps/GitHub release pipelines.

• Core Fabric Ecosystem: Proven, production-level experience with OneLake, Delta Lake, and Synapse Data Engineering.
• Ingestion Pipelines: Deep knowledge of Fabric Data Factory, Dataflow Gen2, and Real Time Intelligence features.
• Advanced Modeling: Expertise in building high-performance Direct Lake semantic models to eliminate Import/DirectQuery latency.
• Enterprise DevOps: Strong experience with Fabric Git integration, deployment pipelines, and Microsoft Purview for data governance.
• Languages: Advanced proficiency in PySpark/Spark SQL.

Manchester - £500 - £550 per day + Outside IR35 - onsite 2 days pw Contract Posted by: Robert Walters Posted: Monday, 19 October 2026