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# Senior Data Engineer - Microsoft Fabric

- **Company:** Microsoft
- **Location:** York, UK (Remote available)
- **Experience:** Expert
- **Salary:** £65,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Software Debugging, Machine Learning, Operational Databases, Power BI, Azure Data Lake, Software Deployment, SQL Databases, Azure Data Factory, Large Language Models, Git, Microsoft Fabric, Azure Synapse Analytics, Software Version Control, Data Pipelines, Api Management
- **Published:** October 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-data-engineer-microsoft-fabric/49827825

## About the Role

important requirement is the depth and continuity of your Fabric experience , rather than simply whether you've crossed an arbitrary two-year threshold. You'll also need a strong grounding in Data Engineering, including: SQL and data modelling ETL/ELT Azure data platforms API integration Git/source control CI/CD and deployment Building and supporting production data solutions Azure Synapse experience would be useful but isn't essential. You'll need experience developing and deploying solutions within a highly regulated environment. Previous Financial Services experience is strongly preferred, particularly Wealth Management, Banking or Insurance. AI exposure The business is increasing its investment in AI, including Azure AI Foundry. This isn't an AI Engineering position and you don't need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether that's development, debugging, code validation or documentation.

## Description

solutions using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations Azure DevOps, Git and CI/CD Production deployment and support Existing Azure Synapse solutions during the transition to Fabric You'll also contribute to engineering quality and maintainability, solve production problems and share knowledge with other engineers. What we're looking for Microsoft Fabric and Power BI are both important requirements. You should have been working hands-on with Fabric in your current or most recent role , with enough continuity to have seen your solutions through beyond their initial implementation. That means being able to talk about what happened after go-live: how you supported what you built, problems you encountered, changes you made and how the solution evolved. The client would ideally like someone who has developed that experience over a sustained period. However, the