Data Engineer

We are looking for an experienced Data Engineer to design, build, and support scalable cloud-based data platforms. You will work with large datasets, ensuring data is reliable, secure, and easy to access for analytics and reporting.

You will collaborate closely with data scientists, BI, engineering teams, and business stakeholders to deliver high-quality data solutions that support data-driven decision making.

• Design, build, and maintain scalable and secure cloud data architectures and pipelines
• Develop and optimise data models, data warehouses, and data lakes
• Work with stakeholders to understand requirements and manage expectations
• Collaborate with third-party suppliers and internal technology teams
• Own delivery of data engineering work, ensuring quality, cost, and timelines are met
• Write high-quality, well-tested code and support release and production support activities
• Ensure data platforms meet security, privacy, and governance standards
• Reduce technical debt and continuously improve data engineering standards and processes
• Mentor and support data engineers, providing technical guidance and leadership

• Strong experience designing and delivering cloud data solutions
• Hands‑on experience with AWS data services (e.g. S3, Redshift, Glue, Lambda, Lake Formation)
• Strong SQL and Python experience (Spark / Iceberg desirable)
• Experience with data warehouse and data lake design
• CI/CD and Infrastructure as Code experience
• Strong understanding of Agile delivery (Scrum / Kanban)
• Ability to manage priorities and deliver under pressure
• Experience with DBT, Docker, Microsoft BI stack
• Experience leading or mentoring data engineers
• Exposure to energy or utilities sectors
• AWS or Microsoft certifications

• Hybrid role with minimum 2 days per week in the Leeds office
• Part of a friendly, established data team
• Opportunity to shape and grow a modern cloud data platform