Data Engineer

Job Title: Data Engineer
Salary: £40,308 to £48,858 (depending on experience) plus bonus
Contract: Permanent
Hours: Full-time, Monday to Friday

About Graham & Brown

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.

The Role

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.

What You’ll Do

• Develop, maintain, and optimise ETL/ELT pipelines in NetSuite
• Integrate and maintain external data sources (Google Analytics, Meta, social platforms) with ERP and business systems
• Automate data processing and reporting workflows for stakeholders
• Cleanse, transform, and reconcile data to ensure quality, integrity, and compliance
• Collaborate with cross-functional teams to define requirements and align data models with business needs
• Build and document data models, schemas, and integration workflows
• Implement monitoring and testing frameworks for data pipelines
• Troubleshoot and resolve data quality and performance issues
• Contribute to long-term data strategy, including governance, analytics enablement, and scalable architecture
• Manage costs in line with budgets and appraise ROI
• Integrate multi national business into the data warehouse
• Build a commercial manufacturing overview of process and cost based on real-time data and reporting to ensure JIT manufacturing and cost efficiency