Yeovil - Data Engineer

Overview:

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.

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.

Responsibilities:

• 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.

Qualifications:

• 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.

What’s in it for You?

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.

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.

We believe in equity for all. Please let us know at careers@screwfix.com if you need any additional support or adjustments when it comes to your application.

NO AGENCIES PLEASE

#LI-Hybrid