Data Engineering Lead / York (hybrid) / £75k-£90k We're hiring a Data Engineering Lead to take ownership of a growing Azure-based data platform, working as part of a small, high-impact team. This is a hands-on technical leadership role focused on building, improving, and stabilising data pipelines and architecture - while also supporting a broader BI environment. What do we need from you? Strong experience with Azure Data Factory and the Microsoft data stack Solid SQL and Python skills Experience building and maintaining data pipelines and integrations Ability to work in a hands-on, delivery-focused role Comfortable operating in a small team with high ownership Understanding of modern data platforms (Fabric exposure desirable) Role overview You'll take ownership of the data engineering layer, responsible for ingesting and transforming data from multiple sources into a large-scale reporting environment. The platform currently combines: Azure Data Factory pipelines A large Power BI estate A legacy warehouse (partially outsourced) There is a clear roadmap toward modernisation and migration (Fabric), and you'll play a key role in shaping that journey. Key focus areas Build and maintain robust data pipelines Manage data ingestion from multiple sources Support and optimise data flows feeding Power BI Work closely with BI and business teams to deliver data solutions Improve platform stability, performance, and scalability Contribute to future platform modernisation and migration Help reduce reliance on legacy and outsourced components Why join? High ownership in a small, agile team Opportunity to work across engineering and platform design Involvement in a major platform transformation (Fabric) Real impact on business-critical data systems A role where you'll build, fix, and improve - not just maintain If you're a hands-on Lead Data Engineer who enjoys building scalable platforms and taking ownership of delivery, apply now with a CV to Dominic Brown on Data Engineering Lead / York (hybrid) / £75k-£90k