In this role you will build and own cloud-based data solutions, driving automation and reliability. You will collaborate with fellow data engineers, review code, and contribute to scalable ETL pipelines that align with business goals. You’ll enable data-driven decision making by supporting analytical tools and insights from the data platform. The role offers the chance to experiment, innovate, and impact retail analytics at scale within a dynamic, inclusive team. This is a practical, impact-focused opportunity to shape data infrastructure for better customer and business outcomes.
Pay / Benefits
20% colleague discount after probation
Competitive holiday entitlement
Discretionary bonus schemes
Defined Contribution Pension Scheme and Life Assurance
Tailored induction and training programmes
Wellbeing support and virtual care
Responsibilities
Build and maintain high-quality data solutions with strong automation in the cloud
Own complex backlog tasks and deliver with minimal issues
Support data engineers through code reviews and pair programming
Design, develop, and maintain scalable ETL data pipelines aligned to business goals
Drive solution through experimentation and innovation
Support the build of analytical tools using the data pipeline to deliver insights and data-driven decisions
Key requirements
Extensive experience with cloud-based data technologies and data warehousing design principles, preferably Azure
Deep understanding of end-to-end data solutions
Solid experience with ETL tools, Databricks, and SQL
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