Data Engineer

About [Employer hidden]

[Employer hidden] brings together people who want to do their best work in an environment built on trust, accountability, and collaboration. We build solutions that help data professionals securely manage the data and databases that their organizations depend on – a space that's only becoming more critical as systems scale, data regulations increase, and AI adoption accelerates.

Why join our engineering team?

• Build high‑impact data products used across Finance, Commercial, and Operations, with work that delivers visible value across the business.
• Work on a modern, evolving data stack, with the opportunity to shape standards, patterns, and how the platform develops over time.
• Tackle complex, real‑world data challenges at scale, alongside colleagues who genuinely value data quality, strong modelling, and reliable engineering.

About the role

• Own the reliability and usability of [Employer hidden]’s data, designing and delivering data pipelines and products that support reporting, analytics, and AI across the business.
• Build end‑to‑end data products on Databricks, using SQL, Python, and PySpark, from ingestion through to curated models used in Power BI and AI use cases.
• Work across a complex, real‑world data landscape, integrating multiple source systems with varying levels of quality and maturity.
• Apply strong engineering judgement, balancing data modelling, performance, cost, and structure to build durable solutions that stand up to real usage.
• Shape data engineering standards and practices, improving reliability, testing, observability, and cost efficiency, and helping enable future AI use cases.

What makes you a great fit

• Proven experience as a Data Engineer
• Experience working with Databricks
• Strong SQL and data querying skills
• Strong practical experience working with source control solutions such as GitHub, using methodologies such as Git Flow
• Experience using Python and PySpark to build and maintain data pipelines

What happens next?

• Your application will be reviewed by a person – we don’t use AI or automated tools to assess applications. Every profile is read by one of our Talent Partners.
• You’ll hear back within a few days – whether it’s a next step or a no, we aim to respond promptly so you’re not left wondering.
• Our interview process is straightforward and consistent – you’ll find more detail on our typical hiring process below, so you know what’s coming and why.

Belonging at [Employer hidden]

We believe that people do their best work in an environment built on respect, fairness, and trust — and that diverse perspectives lead to better outcomes. [Employer hidden] is an equal opportunity employer, and we make hiring decisions based on skill, potential, and alignment with our values. You can read more about how we approach belonging and inclusion at [Employer hidden] on our Belonging at [Employer hidden] page here.

How to apply

Apply with a CV and covering letter. Apply for this job now. Please only apply for roles through our website, as we are unable to accept applications made by email.

Our hiring process

• Application: Tell us about yourself, your skills, and why you’d like to join [Employer hidden]. Include your CV or LinkedIn profile, and any portfolios to showcase your work.
• Initial Conversation: If your application looks like a good match, we will arrange an initial interview to learn more about you and answer any questions.
• Skills Alignment Interview: This stage is all about your expertise. You may complete a technical assessment or focus on competency-based questions.
• Values Alignment Interview: Shared values matter as much as skills. This conversation helps us both explore whether [Employer hidden] feels like the right fit.

If everything feels like a great fit, we will make you an offer and talk through the details so you know exactly what to expect.