Data Engineer

Data Product Engineer Contract Length: 6 months Engagement: Inside IR35 Days on site: 2 days a week Interview stages: 2 stages A long-established financial institution with a strong reputation for stability and innovation is investing heavily in its data transformation strategy. With a mission to better understand customers, manage risk, and unlock data-driven opportunities, the organisation is building a modern cloud-based data platform to support analytics, reporting, and AI initiatives. The Role As a Data Product Engineer, you’ll be at the heart of building the bank’s Common Data Model — a governed, reusable foundation of core entities such as Customer, Account, and Transaction. Using Databricks, Delta Lake, and Microsoft Fabric, you’ll design and deliver high-quality, well-documented data products that embed trusted business logic and serve as a single source of truth across the organisation. What You’ll Do • Design, build, and maintain data products and pipelines on Databricks and Fabric. • Develop performant transformations in Spark SQL and Delta Lake. • Collaborate with business SMEs, analysts, and data modellers to translate requirements into reliable assets. • Apply governance and metadata standards using Unity Catalog, Purview, and Fabric. • Optimise performance and ensure resilience of services in a regulated environment. • Contribute to data engineering standards and mentor within the data community. What We’re Looking For • Proven experience engineering on Databricks (Azure preferred) with Delta Lake. • Strong Spark SQL skills, with ability to deliver maintainable queries at scale. • Experience building modular data models and applying complex business logic. • Understanding of data modelling techniques (canonical, vault, dimensional). • Familiarity with metadata and governance frameworks such as Unity Catalog. • Strong communication skills to work across technical and non-technical teams. • Background in regulated industries (banking, insurance, healthcare) is an advantage. Nice to Have • Exposure to AI/ML data workflows. • Familiarity with Microsoft Purview.