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As a Data Engineer, you'll work with our state-of-the-art customer database and marketing technology infrastructure. Data is at the heart of our business, and we are fortunate to have a wealth of information for our extensive customer database. You'll be designing, implementing, and maintaining our data infrastructure and pipelines, playing a crucial role in enabling data-driven analytics and customer marketing. You'll work collaboratively with cross-functional teams to gather requirements, implement data models, and ensure data accuracy and integrity. Reporting to the Senior CRM & Data Operations Manager, you'll be part of a successful and experienced data engineering team. This role requires a strong data engineering, analytics, and customer marketing background.

We believe that a hybrid, flexible working approach offers you - and your colleagues - the best of both worlds. Face-to-face collaboration is an integral part of our warm, friendly culture, so you'll work from our head office three days a week, working flexibly around our core working hours of 10am-3pm. Beyond that, how, when and where you work is up to you. With a subsidised canteen, free parking and a comfortable, relaxed environment, we've worked hard to build an office you'll want to work in. We also know that, when it comes to school pick-ups and home deliveries, it's nice to have the flexibility to do both., * Design and Build Data Pipelines: Create and maintain optimal data pipeline architecture.
* Data Management: Assemble large, complex data sets that meet functional and non-functional business requirements.
* Process Improvement: Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery.
* Data Integration: Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.
* Collaboration: Work with stakeholders including data scientists, analysts, and other team members to support their data infrastructure needs.
* Data Quality: Ensure data is clean, reliable and readily available for analysis and reporting.
* Maintain data in line with GDPR obligations - housekeeping and deletion of data in line with data retention policy, reporting on user consumption.
* Create and maintain documentation to enable data governance.
* Management of the customer golden record including data and customer entity matching and single customer view.
* Build analytical schemas (bronze/silver/gold) with consideration for cost of computing and user experience.
* Build and manage APIs and micro-services, with an understanding of micro services architecture., Our Head Office is in Yeovil, Somerset: a beautiful location in the heart of the West Country. Within easy reach of London, working flexibly in Somerset offers a great balance of tranquillity and opportunity.
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We've built a workplace that works for you. Here's how we support your success: * Flexible Working: Enjoy a hybrid model-spend three days a week in our welcoming Head Office with flexible hours to fit your life. * Belonging & Inclusivity: Join a team that values diversity, equity, and inclusion, where leaders listen and colleagues have your back. * Career Progression & Learning: Access award-winning apprenticeships, development programs, and the tools to 'Make More of Yourself.' * Health & Wellbeing: Enjoy subsidised meals, gym discounts, and counselling services through the Retail Trust. * Family-First Policies: Inclusive parental leave, enhanced pay, and resources to support your family moments. * Financial Perks: Benefit from a market-leading pension scheme, bonuses up to 20%, and exclusive discounts at Screwfix, B&Q, and more. * Convenience: Free parking, a relaxed Head Office environment, and flexibility to work at your best. * Sustainability That Matters: Join a company committed to protecting the planet through bold initiatives in carbon reduction and sustainable practices. What Does it Take to Succeed at Screwfix? We move fast, adapt quickly, and deliver big. If you're proactive, collaborative, and love a challenge, you'll thrive here. At Screwfix, the more you put in, the more you get out.
* Experience: 3-5 years Hands-on experience with big data tools and frameworks. * Technical Skills: Proficiency in SQL, Python, and data pipeline tools like Apache Kafka, Apache Spark, or AWS Glue. * Problem-Solving: Strong analytical skills and the ability to troubleshoot data-related issues. * Communication: Excellent communication skills to collaborate with various teams and stakeholders. * Experience with data visualization tools (e.g., Tableau, Power BI) * Knowledge of Dax, M, Power Query for Power BI tables and ingestion. * Understanding of XML and J-Son data structures.