Data Engineer

Job no: 568166
Work type: Full time
Site: Redditch
Categories: IT, Data and Analytics
Location: Worcestershire
Salary: Competitive salary + Car allowance
Business Area: Halfords Support Centre

Halfords is on a journey - building the future of motoring and cycling and looking for people who want to help shape what comes next. We're a place for cocreators: people who want to make a real impact, take ownership and be part of something that’s still evolving.

Technology at Halfords is at a turning point. We're modernising our foundations, sharpening our delivery, and ensuring every technology decision is connected to real commercial and customer outcomes.

We're looking for people who act as trusted advisors to the business, take end-to-end accountability for outcomes, and can balance pace with long-term architectural integrity. Innovation here means practical, scalable solutions, not ideas that stay on whiteboards.

Halfords operates a hybrid working policy - this position will be based 3 days per week at our support centre in Redditch, West Midlands.

As a Data Engineer within our Data & Analytics team, you'll play a key role in building and improving the data products, pipelines, and integrations that power reporting, analytics, and decision-making across Halfords. Working with modern cloud-based technologies, you'll help ensure trusted, high-quality data is readily available to stakeholders across the business.

You'll be responsible for designing, developing, and maintaining scalable data pipelines that connect operational systems to our analytics platforms. From automating manual processes and improving data quality to supporting data modelling, transformation, and reporting requirements, you'll work closely with the team to deliver robust and reusable data solutions.

This is an exciting opportunity to join a growing data function as we continue to invest heavily in our data platform and capabilities. You'll gain exposure to a wide range of technologies, while contributing to large-scale transformation programmes that are helping shape the future of data  you enjoy solving complex data challenges and seeing your work directly enable better business decisions, this role offers plenty of scope to learn, grow, and make an impact.

• Build and maintain data pipelines and integrations that connect operational systems to analytics and reporting platforms
• Develop, test, and optimise ETL processes using modern cloud-based technologies and engineering best practices
• Transform manual and time-consuming reporting processes into scalable, automated data solutions
• Produce and maintain clear documentation, including source-to-target mappings, data lineage, and technical specifications
• Support the development of reusable datasets and BI-ready data products that enable trusted and consistent reporting
• Investigate data issues, performance bottlenecks, and data quality concerns, implementing improvements and preventative measures
• Work collaboratively with architects, analysts, and business stakeholders to ensure solutions meet both technical and business requirements

• Proven experience building and maintaining data pipelines, integrations, and data products within a modern data environment
• Strong hands-on experience with Azure Data Factory, Databricks, SQL, Python, and Spark
• Experience developing and supporting ETL processes, with a focus on performance, reliability, and scalability
• Good understanding of data modelling, data integration patterns, and data architecture principles
• Experience analysing source systems, profiling data, and troubleshooting data quality or performance issues
• Strong communication skills, with the ability to explain technical concepts clearly to…