Senior Data Engineer - Customer Data Science

In this role you design, build and maintain scalable data pipelines to support data science workflows and advanced analytics. You will manage Airflow orchestration and work hands-on with the Databricks suite to deliver data engineering solutions for analytics teams. You’ll collaborate with data scientists and uphold coding standards via GitHub and reviews, contributing to reliable, observable pipelines in a cross-functional environment. This position supports a data-driven retail business, enabling better decisions and scalable data delivery. You will operate in a dynamic, inclusive culture that values continuous learning and practical problem-solving.

• 20% colleague discount across products
• competitive holiday entitlement
• discretionary bonus schemes
• defined contribution pension
• life assurance
• wellbeing support (Virtual GP)

• Design, build and maintain robust, scalable data pipelines for data science and analytics
• Develop and manage Airflow orchestration ensuring reliability and observability
• Hands-on work with Databricks to deliver data engineering solutions for data science teams
• Collaborate via GitHub, code reviews, and shared engineering standards
• Support repeatable, high-quality delivery in a feature-led environment

• Strong data engineering experience with independent delivery responsibility
• Experience supporting data science workflows and partnering with data scientists
• Clear communicator and cross-team collaborator
• Proactive problem solver focused on root-cause analysis and practical solutions
• Adaptable, curious, and committed to continuous learning; exposure to MLOps concepts preferred

• strong communication
• collaboration across teams
• proactive problem solving
• Airflow orchestration
• Databricks
• data pipelines