2 of 2 Permanent Senior Data Engineer Jobs in Oxfordshire

Senior Data Engineer (Databricks) Full Time/Permanent £70,000 - £80,000 + car allowance, generous bonus, private medical and other extensive benefits Hybrid - 1 day a week in the Oxfordshire head office required The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered … in Oxfordshire, UK and also have offices throughout the UK, Europe and the US. The Role: We are looking for a driven and experienced Senior Data Engineer with extensive Databricks experience to join a rapidly growing in house Data team during an exciting period of change. This is a role where you can really make your … mark and impact change very quickly . As the Lead Engineer for the Data Team, you will operate within an Agile delivery environment, working closely with the Head of Data, Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from a wide-ranging More ❯

Your New Role We're seeking a Senior Data Engineer to help shape and maintain a modern enterprise data platform. In this role, you'll design and optimise scalable data pipelines and models that bring data from core business systems into Snowflake, enabling analytics, reporting, and data-driven insights across the organisation.You'll … translate strategic data architecture into robust technical solutions, ensuring the platform is reliable, performant, and well-structured. You'll champion engineering best practices and contribute to standards that improve data quality, consistency, and usability.Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI …/ML capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards to ingestion, transformation, storage, and optimisation processes. Pipeline Development: Develop robust ELT/ETL workflows using dbt and orchestration tools, ensuring reliability and maintainability. Performance More ❯