Data Engineer

Keynes office.Key Responsibilities:Apply best practices for data design, ensuring scalable, high-quality and consistent architecture and modelling.Provide timely and accurate root-cause analysis and resolution within SLA timeframes.Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives.Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model.Team Roles & Responsibilities:Work within the overall data architecture, ensuring that it aligns with the business’s data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security.Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation-wide consistency.Apply Agile principles for iterative and collaborative development.Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to

ensure effective operation.Support cross-functional data projects, providing expertise as required.Deliver data solutions that support project goals and business outcomes.Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption.Be part of a team of 5 data engineers.Experience & Skills Required:Proven experience in Data Engineering, with strong hands-on experience in Python, Data Modelling, Data Warehousing.Strong background in incident resolution, requests, changes and problem-solving within SLAs.Hands-on experience with Spark, Data Architecture, SQL and Delta Lake.Cloud development experience (Azure / Fabric).Working knowledge of Medallion Architecture.Demonstrated capability in implementing and supporting pipelines in demanding environments.Strong communication skills and confidence presenting ideas and technical approaches.Willingness to learn, adopt and improve best practices and standards.Ability to work effectively in complex, high-pressure environments using both legacy and modern technologies.Strong analytical thinking and attention to detail.Desirable:Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions.Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture.Experience with development lifecycle processes for data pipelines.STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience. If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #4819008 - Adam Sinclair