Data Engineer

Job Title

Data Engineer

Location

Asda House

Employment Type

Full time

Contract Type

Permanent

Hours Per Week

37.5

Salary

Competitive salary plus benefits.

Category

Data Science

Closing Date

31 July 2025

 

This role requires on-site presence at Asda House in Leeds three days per week (Mon & Fri, plus one other day). We’re really looking forward to having you around!

We’re looking for multiple Data Engineers to join our Data Team. In this role, you'll be an integral part of one of our Agile data squads, collaborating with Product Managers, Visualisation Engineers, Data Analysts, and Data Architects to deliver high-quality, reliable data products that support Asda’s strategic goals. You’ll also contribute to fostering a culture of continuous improvement and engineering best practices within our Agile Community of Practice.

Your Role 

• Design, build, and optimise robust data pipelines using PySpark, SparkSQL, and Databricks to ingest, transform, and enrich data from a variety of sources.
• Translate business requirements into scalable and performant data engineering solutions, working closely with squad members and stakeholders.
• Handle data in multiple formats (structured, semi-structured, and unstructured) and manage data at various latencies – from batch processing to real-time streaming.
• Collaborate cross-functionally across the business to enable self-service analytics and innovation through well-organised and accessible data assets.
• Ensure engineering solutions comply with architectural frameworks and best practices defined by Data Architects.
• Actively contribute to our Agile ways of working, participating in ceremonies, retrospectives, and fostering a strong sense of team ownership and continuous delivery.
• Contribute to the Agile Community, ensuring standards, practices and principles are built into everything you do.

About You 

• Experience building and maintaining data solutions.
• Experience with languages such as Python, SQL and, preferably, PySpark.
• Hands-on experience with Microsoft Azure data services, including Azure Data Factory, and a good understanding of cloud-based data architectures (e.g., data lakes, data vaults, data warehouses).
• Experience in working with Agile frameworks such as Scrum, Kanban, Lean.
• Experience with distributed data processing platforms such as Databricks.
• Understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.)
• Version control and best practices using Github.
• Strong communication and collaboration skills with a proactive, problem-solving mindset.

We welcome applications from candidates seeking part-time hours, flexible working arrangements, or job share opportunities.

If you have any questions about the role, then please email clare.tempest@asda.uk

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Everything you'll love

To ensure we balance moments where we know we need to collaborate together and the need for flexibility, Asda has a hybrid way of working with a minimum 3 days a week in one of our Home Offices.Over and above this, each area of Asda may have additional requirements which may require spending more days in the office, visiting suppliers, stores or depots.

You will also get an excellent benefits package including:

• Discretionary company bonus
• Company pension up to 7% matched
• 15% colleague discount in store and online
• Free access to wellbeing services such as Wagestream, 24/7 virtual GP, counselling, health and dental cash plans and a 24/7 employee assistance helpline, alongside discounts across a range of services and activities, from airport parking, enhanced  to theme parks and cinemas.
• Asda Allies Inclusion Networks – helping colleagues to make sure everybody is included and that our differences are recognised and celebrated
• Excellent parental leave policies, including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and support for those doing fertility treatments.

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves