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Graham & Brown Holdings - a family of companies is seeking a Data Engineer to design, build and maintain data pipelines across global operations. You will unify data from third‑party platforms and ERP systems, delivering automated, actionable insights to support reporting and decision‑making.
The role emphasizes data quality, governance, and scalable architectures, with collaboration across cross‑functional teams. Competitive salary and bonus potential accompany a flexible, hybrid work setup.
Job Title: Data Engineer
Salary: £40,308 to £48,858 (depending on experience) plus bonus
Contract: Permanent
Hours: Full-time, Monday to Friday
Welcome to Graham & Brown, where creativity, innovation, and data-driven decision-making combine to deliver exceptional outcomes for our customers worldwide. Since 1946, we’ve been a leading UK-based manufacturer and retailer of premium wallpaper, paint, and home décor products, serving both retail and commercial markets across multiple channels and international sites.
At Graham & Brown, we value curiosity, collaboration, and continuous improvement. Our data and analytics capabilities are central to our business, enabling smarter decisions, seamless operations, and better customer experiences. Joining us means being part of a dynamic, forward-thinking team where your technical expertise has a real impact on global operations and growth.
We are seeking a skilled and proactive Data Engineer to join our IT and Data & Analytics team. You will be responsible for designing, building, and maintaining data pipelines and integrations. You’ll also unify data from third-party platforms such as Google Analytics, Meta, and other digital channels, ensuring accurate, automated, and insightful delivery of data across the business. This role directly influences global reporting, decision-making, and customer insight initiatives.
Knowledge of retail and omni-channel environments is advantageous
We’re committed to giving everyone a fair chance. We welcome applications from people of all backgrounds and make employment decisions based on skills, experience and suitability for the role.