Halfords Worcestershire, England, United Kingdom
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Halfords Worcestershire, England, United Kingdom
Join to apply for theData Engineerrole atHalfords
This range is provided by Halfords. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
About Us
At Halfords, our mission is to inspire and support a lifetime of motoring and cycling. As a specialist retailer, we lead the market through customer-driven innovation and a distinct product range. We are dedicated to providing our customers with an integrated, unique, and convenient service experience from e-bike and electric vehicle servicing to on-demand solutions. Our commitment is to foster customer loyalty by offering compelling reasons to keep coming back to our stores, ensuring a lifetime of motoring and cycling enjoyment.
The teams at our Redditch Support Centre work with every other area of our business, putting them at the heart of the action and playing a key role in our success and growth. Everyone brings their individual knowledge and experience to work every day, working as one team to keep things moving smoothly.
If you’re willing to get stuck in, you’ll love it here too. So put yourself at the heart of a dynamic, fast-paced working environment where expertise and focus take people far.
The role
As a Data Engineer at Halfords, you’ll be part of a high-performing team that’s central to how we use data to drive decisions across our business. Working within a modern Azure environment and leveraging Databricks, you’ll build scalable pipelines, transform complex data sets, and help turn raw data into actionable insights for analysts, data scientists and business teams across the Halfords Group. It’s a hands-on role with real impact, powering everything from operational improvements to strategic planning.
You’re comfortable in a fast-paced, agile environment, with solid experience in SQL, Python and cloud-based data orchestration tools. You enjoy solving technical challenges, collaborating with cross-functional teams, and writing clean, testable code that stands up in production. You’ll also rotate onto 3rd line support (business hours only), helping to maintain stability across a maturing platform while contributing to its evolution.
This is an opportunity to work on a well-established, enterprise-scale platform with some genuinely exciting tech - we’re early adopters of the latest Databricks features and serious about improving how data is sourced, modelled and consumed. If you’re looking to deepen your engineering skills in a team that values clean code, real business outcomes and continuous improvement, we’d love to hear from you.
Key Responsibilities
- Design, build and maintain robust, scalable data pipelines to ingest, transform and serve data from a variety of internal and external sources.
- Develop production-grade code, with a focus on quality, performance, and reusability across the platform.
- Collaborate with analysts, data scientists, solution architects and business stakeholders to understand data needs and translate them into engineered solutions.
- Use data orchestration tools to automate workflows and manage dependencies across the data lifecycle.
- Contribute to sprint planning, estimation, and Agile ceremonies, actively shaping stories and driving delivery within a cross-functional team.
- Participate in a 3rd-line support rota (business hours only), resolving escalated incidents and ensuring the reliability of our live data services.
- Maintain clear, accessible documentation for pipelines, data models, and processes to support collaboration, onboarding and future enhancements.
- Actively explore and apply new features and releases to continually evolve our platform and engineering practices.
About You
- Strong experience as a Data Engineer working with Databricks to design and build scalable, production-ready data pipelines.
- Proficient in SQL and Python (PySpark), with a proven ability to write clean, testable, and well-documented code for data transformation and integration.
- Hands-on experience using Azure Data Factory or similar orchestration tools to automate and manage complex workflows across cloud-based environments.
- Comfortable working in Agile teams and collaborating closely with analysts, data scientists, architects and business stakeholders to shape solutions that deliver value.
- Proactive, curious and detail-oriented, with a passion for data and a drive to improve processes, ensure quality, and adopt the latest tools and technologies.
- Confident communicator, able to explain technical work clearly to both technical and non-technical audiences and collaborate effectively across teams.
Reward & Benefits
- A fair and competitive salary evaluated against market data, annual discretionary bonus scheme, pension, life assurance, 25 days annual leave plus bank holidays and enhanced family leave.
- Commitment and dedication to your ongoing personal and professional development. We help you to own and grow your potential so you can be at your best in your current role and to support your future career aspirations.
- You will have access to a wealth of employee discounts across the Halfords suite of products and services.
- Wellbeing and inclusion are at the heart of our colleague experience. We offer resources and ongoing support to enhance your wellbeing at work and active Colleague Networks supporting inclusion initiatives across Halfords.
Not sure you meet all the criteria? We'd encourage you to take the wheel and apply anyway! At Halfords we are committed to creating an inclusive workplace for our colleagues. We're an equal opportunities employer and proud to welcome applications from all backgrounds and embrace diversity within our one Halfords Family.
Halfords operate a 2 days-per-week office based hybrid working policy at our support centre in Redditch.Seniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionInformation Technology
- IndustriesRetail
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