Senior Data Engineer; Databricks & Power BI

We’re Hiring:
Senior Data Engineer (Databricks & Power BI)

Pay: £55,000 - £60,000 DOE ✨

• 3× Salary Life Assurance
• 25 Days Holiday + 8 Bank Holidays

Location:

Hybrid 2/3 days per week, Birmingham

Benefits (Ranging from)

• 3× Salary Life Assurance
• 5% Employer Contribution Pension
• 25 Days Holiday + 8 Bank Holidays

Learning & Development:
From day one, you’ll gain access to outstanding Learning and Development opportunities, Mentorship, and a whole load of benefits from big brand discounts to give back schemes!

See a Different World. Where potential is seen and progress is nurtured.

Grade: G

We’re building a brand‑new Databricks‑based data platform, and we’re looking for a hands‑on Senior Data Engineer to help shape it from the ground up working within parameters and governance models set by our global team – With the ability to scope our model based in the UK within this greenfield opportunity.

This is a rare opportunity for a current Data Engineer looking for their next big step into a more senior, greenfield position to join at the perfect time: our foundations are being put in place, our pipelines ready to be started, and you’ll play a major part in how data flows across our UK business.

If you’re someone who loves writing clean, scalable code, solving real business problems, and seeing your work used by hundreds of colleagues, without needing to manage people or own the full strategy — this role is for you.

• Develop production-grade pipelines in Databricks to ingest data from APIs, SaaS platforms, operational systems, files, and more.
• Help define our Lakehouse (bronze/silver/gold) approach and optimise pipelines for performance and cost.
• Contribute to our engineering standards: version control, testing, environments, CI/CD.

• Design and model clean, intuitive datasets for analytics and self‑service reporting.
• Publish curated and well‑documented datasets for Power BI, working closely with analysts and report developers.
• Build in high‑quality data validation and monitoring so reports stay accurate and reliable.

• Apply our organisation‑wide governance standards covering naming, access, ownership, and retention.
• Contribute clear, business‑friendly documentation to our data catalogue.
• Work alongside security and compliance to ensure we meet UK and company standards, including GDPR.

• Prepare high‑quality feature datasets for forecasting, segmentation, anomaly detection and more.
• Collaborate with colleagues to prototype simple models in Python and help deploy basic scoring workflows.
• Bring your expertise to help shape what good data science foundations look like.

• Work closely with colleagues in the UK and globally to share ideas and best practices.
• Partner with business teams to understand their data needs and prioritise solutions.
• Help upskill others by sharing knowledge and guiding them through datasets and pipelines.

Note:

This is not an extensive list of responsibilities, however it gives a good picture of the opportunity. If you believe you meet the minimum criteria for the role, we encourage you to apply.

• 3–5 years’ experience as a Data Engineer (or similar) working with production pipelines.
• Robust hands‑on experience with Databricks or similar cloud data lake platforms.
• Fluent in Python and/or SQL, with experience handling large datasets.
• A solid understanding of ETL/ELT workflows and designing data models for analytics.
• Experience preparing and publishing datasets for Power BI (or another BI tool).
• Experience with data quality checks, monitoring, and troubleshooting.

• Experience with Azure Databricks, Azure Data Lake, Data Factory, Synapse, Key Vault.
• Familiarity with Delta Lake, Lakehouse architecture, or dbt.
• Exposure to data science concepts or notebooks‑based workflows.
• Experience working in a growing or transforming data environment.
• Understanding of UK data privacy requirements, including…