Senior Data Engineer

• Design and implement a robust medallion (Bronze/Silver/Gold) architecture across Fabric and GCP
• Lead the migration from legacy platforms into a modern, cloud-native ecosystem
• Partner closely with IT and Security to embed Security by Design and meet enterprise standards
• Drive FinOps and cost optimisation, targeting a 15–20% reduction in cloud spend
• Establish strong data governance, including lineage, cataloguing, and eliminating shadow IT
• Set engineering standards across CI/CD, version control, and documentation
• Oversee pipeline orchestration (ETL/ELT) to ensure reliable, high-performing data flows
• Work cross-functionally with Finance, Data Science, and Architecture teams to deliver high-quality, trusted datasets

• Proven experience designing enterprise-scale data platforms across Microsoft Fabric and GCP
• Strong programming skills in Python and SQL, with experience building scalable, reusable frameworks
• Deep understanding of lakehouse and medallion architectures
• Experience with data pipeline tools (e.g. DataFactory, Dataflow/Apache Beam) and workflow orchestration
• A track record of delivering cloud cost optimisation (FinOps) and managing large-scale data environments
• Strong knowledge of data governance, data lineage, and cataloguing tools
• Solid understanding of IT security principles (IAM, network controls, secure architecture)
• Experience leading large-scale migrations from legacy systems to cloud platforms
• The ability to translate complex technical challenges into clear, business-focused insights
• A passion for raising engineering standards and mentoring others

Experience with GA4 data modelling or supporting MLOps environments (e.g. Vertex AI)

• 20% staff discount, which increases with length of service
• Thrive Recognition Scheme
• Wellbeing support provided by the Retail Trust
• Life Assurance
• Retail Rewards platform offering discounts for other retailers
• Pension Scheme
• Access to a wide range of career development