Data Engineer
AWS Data Engineer
Upto £60,000 | Leeds | Hybrid (2 days in the office)
The opportunity
This is a hands-on Senior Data Engineer role for someone who enjoys building things properly.
You’ll be joining a growing data team responsible for designing, building, and evolving a cloud-based data platform that supports analytics, reporting, and data-driven decision making across the business.
The focus is on robust engineering, scalability, and quality – not throwaway pipelines.
You’ll work with large, complex datasets, shape data models, and help move the platform forward using modern data engineering practices in AWS. There’s also a strong emphasis on ownership, mentoring others, and influencing how data engineering is done going forward.
What you’ll be doing
- Designing and building scalable data pipelines and architectures in AWS
- Owning data engineering development and change initiatives end to end
- Developing and maintaining cloud data platforms, data models, and ELT/ETL pipelines
- Working closely with analysts, BI, and wider engineering teams to understand data needs
- Ensuring high standards around data quality, performance, security, and compliance
- Supporting CI/CD for data pipelines and reducing technical debt
This is a role where you’re trusted to make technical decisions, not just take tickets.
What they’re looking for
- Strong experience as a Data Engineer in a cloud environment
- Solid hands-on experience with AWS data services (e.g. S3, Redshift, Glue, Lambda, Lake Formation, Step Functions)
- Strong SQL skills and experience with Python / Spark / Pandas
- Experience building data warehouses or data lakes
Why this role is worth a look
- You’ll work on a real, production data platform, not a greenfield proof of concept that never ships
- Plenty of scope to shape standards, tooling, and ways of working
- A collaborative, down-to-earth data team that values quality over shortcuts
- A role suited to someone who wants technical depth + influence, without stepping away from hands-on work