Senior Data Engineer

Asda; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading retail company is seeking a Senior Data Engineer to join their dynamic Data Team. The role involves designing and optimizing data pipelines and collaborating with cross-functional teams to drive data insights. Candidates should have expertise with PySpark and SQL, alongside experience in Azure Data Services, and enjoy working in a fast-paced environment.

Benefits

Discretionary company bonus

Company pension up to 7% matched

15% colleague discount

Free access to wellbeing services

Excellent parental leave policies

Qualifications

• Experience acquiring structured, semi-structured, and unstructured data from various sources.
• Hands-on experience using Azure Data services.
• Ability to collaborate effectively with cross-functional teams.

Responsibilities

• Design, build, and optimize data pipelines.
• Translate business requirements into data engineering solutions.
• Collaborate cross-functionally to enable self-service analytics.

Skills

Data pipeline development with PySpark

SQL expertise

Data modelling experience

Azure Data services proficiency

Excellent communication skills

Tools

Databricks

SparkSQL

Job description

Job Title
Senior 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
20 August 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 Senior 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 acquiring structured, semi-structured and unstructured data from various sources, including databases, blob storage, API's and event streams.
• Expertise with SQL and/or Python data pipelines - Particularly in PySpark, SparkSQL or Databricks.
• A good understanding of the concepts around data modelling in an enterprise with hands on experience - implementation of Data Vault is a bonus.
• Hands on experience using Azure Data services
• Any experience with streaming analytics is advantageous.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams in a fast-paced environment.
• The ability to deal with ambiguity and make sense of complex data landscapes
• Bring a diversity of thought to solving problems.

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 [e-mail]

#LI-CT1

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