Salary £50,000
Location Hybrid - Milton Keynes or Boston
Summary
This role is for a hands‑on engineer who enjoys building reliable, scalable data pipelines that people trust and use. As a Data Platform Engineer, you’ll play a key part in delivering high‑quality data into our cloud platform, enabling reporting, analytics and evidence‑based decision‑making across the organisation.
You’ll work closely with BI, data product and governance colleagues to turn data from multiple source systems into well‑engineered, production‑ready datasets.
Salary: £50,000 per year
Contract: Permanent, full time
Your week: 36.25 hours, Monday – Friday (9am – 5.15pm)
Location: Hybrid, with weekly presence in Milton Keynes or Boston
Snapshot of your role
You’ll design, build and maintain ETL/ELT pipelines in the Microsoft cloud, primarily using Azure Data Factory, Databricks and related Azure services. Your focus will be on producing data pipelines that are robust, performant and cost‑efficient, with quality and reliability built in from the start.
You’ll work with modern engineering practices — including Git, CI/CD and environment separation — to promote small, safe and frequent changes. You’ll also play an active role in data quality, validation and governance, ensuring datasets are well‑documented, secure and discoverable.
Collaboration is key. You’ll partner with BI analysts, data product teams and business stakeholders to ensure data is accessible, well‑modelled and fit for purpose, supporting insight and decision‑making across the organisation.
“We’re looking for engineers who care about quality and delivery. This role is about building data pipelines that are reliable, well‑designed and genuinely useful — not just technically interesting. If you enjoy solving real problems and seeing your work used, this is a great opportunity.”
Christopher Heappey, Director of Insight & Innovation
What we’re looking for
You’ll be a motivated data engineer with strong technical foundations and a practical mindset.
You’ll bring:
Hands‑on experience building ETL/ELT pipelines in a cloud environment
Strong SQL skills and experience with data modelling
Experience working with Databricks (PySpark/SQL) and Azure data services
Familiarity with Git and CI/CD approaches for data engineering
A collaborative approach and attention to detail
You’re proactive, methodical and comfortable working with both technical and non‑technical colleagues. You take pride in building data solutions that are dependable, well‑documented and ready for production use