About You (Experience & Qualifications)

• 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 s
• kills with a proactive, problem-solving mindset

Are you passionate about turning data into powerful insights and scalable solutions? We’re looking for a Data Engineer to join our dynamic Data Team and help shape the future of data at Asda.
In this hands-on role, you’ll be a key player within one of our Agile data squads, working side-by-side with Product Managers, Visualisation Engineers, Data Analysts, and Data Architects. Together, you’ll design and deliver high-quality, reliable data products that fuel strategic decisions and drive real business impact.
But this isn’t just about pipelines and platforms, it’s about people and progress. You’ll actively contribute to a culture of continuous improvement, championing engineering excellence and sharing knowledge within our Agile Community of Practice.
If you thrive in a collaborative environment, love solving complex data challenges, and want to be part of a team that’s transforming how data powers retail, this is your opportunity.

Your Role (Key Responsibilities)

• 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 & Qualifications)

• 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 s
• kills with a proactive, problem-solving mindset.