> Markdown version of [/jobs/ext/3977952-data-engineer-ms-fabric](https://www.wearedevelopers.com/jobs/ext/3977952-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:** Allen & York Ltd - **Location:** Preston, UK - **Contract:** Permanent contract - **Skills:** Application Integration Architecture, Spreadsheets, Databases, Data Architecture, Data Infrastructure, Data Structures, Python (Programming Language), Power BI, Standard Sql, Software Engineering, Data Processing, Cloud Platform System, Data Ingestion, Microsoft Fabric, Data Pipelines - **Published:** October 28, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/data-engineer-ms-fabric/54037558 ## About the Role Hands-on Microsoft Fabric experience is essential. Strong SQL and data modelling skills. Experience building data pipelines and integrating APIs, databases and other sources. Python skills for data processing and automation. Understanding of Power BI integration and modern data architecture. A proactive, problem-solving mindset with the ability to take ownership of solutions. Energy or utilities experience would be beneficial, but it's not essential. ## Description Are you a Data Engineer who enjoys solving complex data challenges, building scalable platforms and making systems work smarter? We're working with a sustainability-focused consultancy looking for a Data Engineer to help shape and develop its Microsoft Fabric environment. This is an opportunity to move beyond project-by-project solutions and help build a more structured, automated and scalable data platform. What you'll be doing Designing and building data pipelines, models and automated workflows in Microsoft Fabric. Developing data ingestion and transformation processes using Fabric pipelines and notebooks. Working with SQL, Python and modern lakehouse/warehouse architecture. Optimising data structures for Power BI reporting and analytics. Improving data quality, governance and consistency across the business. Reducing reliance on manual spreadsheets through smarter, automated solutions. Collaborating with BI and software development teams to evolve the wider data infrastructure.