Data Engineer

About Matalan

From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever-evolving here.

We know as a team, we are stronger together - we champion equality for all and make lasting connections that go beyond work. We thrive off our inclusive culture, encouraging our colleagues to bring their true selves to work and contributing to collective creativity, open-mindedness and growth.

We want give every candidate the opportunity to perform at their best throughout the application and interview process and then ultimately in their role. If you require any adjustments during our recruitment process, please don’t hesitate to let us know.

In the event that a high volume of suitable applications are received, the post may close prior to the specified closing date. Please apply as soon as possible if interested.

We re looking for a skilled Data Engineer to build, optimise and maintain high-performing data pipelines across Microsoft Fabric and GCP.

You'll play a key role in ensuring reliable, production-ready data is delivered to support business-critical analytics. Working within a modern lakehouse environment, you'll focus on automation, data quality, and performance, helping to drive efficient and scalable data operations.

You will:

• Develop and maintain ETL/ELT pipelines to ingest data from multiple sources into Fabric/GCP
• Ensure pipelines follow medallion architecture (Bronze/Silver/Gold) standards
• Monitor pipeline performance, troubleshoot issues, and act as a key responder for incidents
• Embed data quality checks to ensure accuracy and integrity of data outputs
• Optimise SQL and Python code to improve performance and reduce cloud costs
• Support data governance and documentation, ensuring pipelines are transparent and supportable
• Enable Analytics and Data Science teams with trusted, accessible datasets
• Contribute to the migration of legacy data processes into modern, scalable solutions

You're a hands-on Data Engineer with strong technical skills and a focus on building reliable, scalable data solutions.

You'll bring:

• Strong experience with SQL (including optimisation) and Python for data engineering
• Hands-on experience working with GCP (Big Query) and/or Microsoft Fabric (Synapse/One Lake)
• Experience building and managing data pipelines and workflow orchestration tools (e.g. Airflow, Data Factory)
• A solid understanding of data modelling (e.g. star schemas, SCD) and governance principles
• Experience implementing data quality testing and validation
• Familiarity with CI/CD and version control (e.g. Git, Git Hub Actions, Azure Dev Ops)
• Knowledge of cloud security principles and working within governed environments
• A proactive approach to monitoring, alerting, and resolving data issues
• You'll also be comfortable working in an Agile environment, collaborating with stakeholders, and clearly communicating technical challenges to non-technical audiences.

In addition to competitive salaries, we also offer the below core benefits:

• 20% staff discount, which increases with length of service
• Thrive Recognition Scheme
• Wellbeing support provided by the Retail Trust
• Life Assurance
• Retail Rewards platform offering discounts for other retailers
• Pension Scheme
• Access to a wide range of career development
• Additional benefits may apply depending on your role and area of the business