Data engineer

We are seeking a Junior Data Engineer to join our Digital Engineering, Digital & IT team in the UK, with flexible working across Newbury and Paddington. Reporting to the Data Strategy & Engineering Lead, you will develop foundational production Data Engineering capability while contributing to trusted data products and platforms with appropriate technical guidance.

• Develop and test defined SQL, Python and dbt or equivalent transformation components using established engineering patterns
• Support data ingestion, transformation and data-model changes with guidance from Lead and Senior Data Engineers
• Implement agreed data-quality checks, documentation, metadata and lineage for assigned components
• Use version control, pull requests, continuous delivery and automated testing consistently
• Respond constructively to code-review feedback and apply learning to future engineering work
• Monitor assigned data jobs and investigate straightforward failures
• Maintain clear and useful operational runbooks and support effective operational handover
• Escalate complex incidents, security issues or control concerns with relevant evidence
• Follow agreed engineering, security, privacy and data-quality standards
• Build technical capability through practical delivery, pairing, review and operational feedback
• Use AI-assisted development tools responsibly, validating generated outputs before they are incorporated into engineering work

• Foundational knowledge of Python and SQL
• Working knowledge of relational data and core data-transformation principles
• Early-career experience gained through employment, an apprenticeship, placement, graduate study or equivalent practical delivery
• Exposure to cloud data services, preferably Google Cloud Platform or an equivalent cloud environment
• An understanding of version control, automated testing, continuous delivery and code-review practices
• Awareness of data quality, privacy, access controls and secure data handling
• An interest in responsible AI-assisted development, including validation of AI-generated outputs
• Clear written and verbal communication skills, including the ability to document technical work effectively
• A willingness to seek support, learn through pairing and feedback, and contribute collaboratively to team outcomes

• The opportunity to develop practical Data Engineering capability by contributing to production data products and platforms
• Exposure to cloud-native engineering, reusable data capabilities and digital services supporting customer propositions and operational use cases
• Structured learning through pairing, technical review, delivery and operational feedback
• Experience working with established engineering practices covering automated testing, continuous delivery, data quality, security, metadata and lineage
• The opportunity to build increasing independence as your technical capability develops
• Practical exposure to the responsible use of AI-assisted engineering tools within a production environment