Data Engineering Jobs in Birmingham

SF Partners · Birmingham · £70,000 – £80,000 pa

Hands-on engineering role focused on developing and optimising Microsoft Azure and Microsoft Fabric platforms within a professional services organisation undergoing major transformation. Involves introducing automation, improving platform performance, resilience and cost optimisation, and establishing infrastructure and operational practices for growing data and analytics capabilities, while influencing technical standards and working with business stakeholders.

VIQU IT Recruitment · Solihull · £65,000 – £70,000 pa

Owns the roadmap and lifecycle for certified data products such as datasets, dashboards, semantic models and AI-enabled features, leading a team of Data Analysts and BI Developers. Acts as the bridge between technical delivery and business stakeholders, embedding a federated data-mesh operating model and driving data literacy and adoption across the organisation.

Amtis Professional · Birmingham · £40,000 – £45,000 pa

Builds and develops a central data platform supporting reporting, analytics and emerging AI use cases. Covers the full data lifecycle: ingesting from internal and external sources and APIs, ETL/ELT transformation, data modelling and database design, plus Power BI dashboards. Works in a Microsoft Fabric/Azure stack with SQL, Python and Git in a collaborative team.

Circle Recruitment · Dudley · £65,000 – £85,000 pa

Technical owner of a Microsoft Fabric data platform, building and maintaining data pipelines, ETL/ELT processes and integrations from APIs, flat files and ERP systems. Works with Finance, Commercial and BI teams to shape data architecture during a major Fabric migration, with Databricks, Azure data lakes and warehousing in the stack.

Circle Recruitment · Dudley · £65,000 – £85,000 pa

Technical owner of a Microsoft Fabric data platform, building and maintaining data lakes, pipelines and ETL/ELT processes from APIs, flat files and ERP systems. Works with Finance, Commercial and BI teams to deliver scalable reporting while bringing data engineering knowledge in-house during a major Fabric migration.