> Markdown version of [/jobs/ext/3838246-lead-fabric-data-engineer](https://www.wearedevelopers.com/jobs/ext/3838246-lead-fabric-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Fabric Data Engineer - **Company:** Robert Walters - **Location:** Manchester, UK - **Experience:** Expert - **Salary:** £130,000.0 - £143,000.0 - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Information Engineering, Data Governance, DevOps, Data Flow Control, Github, Apache Hive, Role-Based Access Control, Power BI, Data Streaming, Data Ingestion, Delivery Pipeline, Git, Data Lakes, Pyspark, Star Schema, Graphql - **Published:** October 20, 2026 - **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-79ED8830051813E66E/ ## About the Role * 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. ## Description * 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.