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

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.

• Develop, maintain, and optimise ETL/ELT pipelines in Net Suite
• 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
• Overall ownership of data costs, ensuring effiicency of cost and usage across the group

• Proven experience as a Data Engineer with architecture and design expertise
• Strong SQL and database management skills
• Experience with Net Suite ERP is highly desirable
• Proficiency in ETL/ELT tools such as SSIS, Talend, dbt, or equivalent
• Programming skills in Python, R, or similar for data ingestion and automation
• Hands-on experience integrating data from digital platforms (Big Query, Google Analytics, Meta Ads, social media APIs)
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Strong problem-solving skills and ability to translate business needs into technical solutions, competent across databricks or powerbi

Knowledge of retail and omni-channel environments is advantageous

• Competitive salary, up to £48,585 with bonus potential of up to 10%
• Opportunities to work on impactful, global data projects
• A collaborative, innovative team environment that values your expertise
• Continuous development and learning opportunities
• The chance to shape and enhance analytics and reporting across multiple business functions
• Self-Managed Time - choose your working hours and holiday to suit your workload
• Hybrid working - the option to work remotely one day per week
• Your birthday off
• Fantastic discounts of up to 60% on Graham & Brown products
• Generous 10% pension scheme
• Enhanced maternity and paternity pay
• Free parking and access to company vehicles for business needs
• Regular social events, brought to you by our very own Fun Squad!

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.