Data Product Engineer
Contract Length: 6 months
Engagement: Inside IR35
Days on site: 1-2 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.