> Markdown version of [/jobs/ext/3725062-data-engineer-ms-fabric](https://www.wearedevelopers.com/jobs/ext/3725062-data-engineer-ms-fabric). 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). --- # Data Engineer- MS Fabric - **Company:** Real Staffing - **Location:** Berkshire, UK - **Salary:** £130,000.0 - **Contract:** Temporary contract - **Skills:** Data Architecture, Data Integration, Extract Transform Load (ETL), Data Warehousing, DataOps, Data Streaming, Enterprise Data Management, Azure Data Factory, Build Management, Microsoft Fabric, Data Analytics, Data Management, Data Pipelines - **Published:** October 14, 2026 - **Apply:** https://www.realstaffing.com/en-gb/job/data-engineer--ms-fabric/4077824 ## About the Role * Strong experience as a Data Engineer * Proven track record delivering Microsoft Fabric implementations * Experience building data platforms and data warehouses from scratch * Strong knowledge of data integration, ETL/ELT, and modern data architectures * Experience working with Azure data technologies * Ability to work independently within a greenfield environment * Strong stakeholder engagement and communication skills ## Description This is an opportunity to play a key role in the design and implementation of a new Microsoft Fabric platform from the ground up. The organisation currently has no enterprise data warehouse in place and is looking to build a modern data environment, making this a highly impactful project for an experienced consultant., We are looking for a hands-on Data Engineer who has successfully delivered Microsoft Fabric implementations within other organisations and can help shape best practice, architecture, and delivery., * Design and build data pipelines using Microsoft Fabric * Support the end-to-end implementation of a new enterprise data platform * Develop and optimise data models, integration processes, and data flows * Work closely with business and technical stakeholders to understand data requirements * Establish data engineering best practices and standards * Support the creation of scalable reporting and analytics capabilities * Contribute to the overall data architecture and platform strategy