Data Engineer

ASDA; Leeds; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading company is seeking a Data Engineer to join their dynamic Data Team. You will design and deliver high-quality data products, working within Agile squads to turn data into actionable insights. The role offers competitive salary and a comprehensive benefits package, with a focus on collaboration and continuous improvement.

Benefits

Discretionary company bonus

Company pension up to 7% matched

15% colleague discount in store and online

Access to wellbeing services

Excellent parental leave policies

Qualifications

• Experience building and maintaining data solutions.
• Hands-on experience with cloud-based data architectures is crucial.
• Strong communication skills and a proactive mindset are essential.

Responsibilities

• Design, build, and optimise data pipelines using PySpark and SparkSQL.
• Translate business requirements into scalable data solutions.
• Collaborate with teams to enable self-service analytics.

Skills

Data solutions

Python

SQL

PySpark

Azure Data Services

Agile frameworks

Data modelling

Version control

Collaboration

Education

Experience in Data Engineering

Tools

Databricks

Azure Data Factory

Github

Job description

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

27 June 2025

This role requires on-site presence at Asda House in Leeds for at least three days per week. We’re really looking forward to having you around!

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.

If you have any questions about the role, then please email [e-mail]

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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