Senior Data Engineer
A brand-new opportunity for a Senior Data Engineer to join a growing data function at a pivotal stage of transformation.
This role offers the chance to shape and build a modern cloud data platform from the ground up, playing a key role in a large-scale on-prem to AWS migration while influencing technical direction and best practice across the team.
The Opportunity
You'll join a collaborative team of data engineers (junior through to senior) and work closely with leadership to:
- Drive a major cloud migration to AWS, including modern lakehouse architecture
- Build and optimise scalable data pipelines and ETL processes
- Partner with analysts, data scientists, and wider business teams to unlock data value
- Take ownership of complex engineering challenges in a fast-paced, evolving environment
- Mentor and coach engineers, supporting growth and knowledge sharing across the team
What They're Looking For
- Strong hands-on data engineering experience within a complex environment
- Advanced PySpark expertise (essential)
- Solid experience working with AWS data services (e.g. S3, Glue, Redshift, Lambda)
- Proven track record working on large-scale data platform or migration projects
- Experience building robust, production-grade pipelines with testing / CI/CD exposure
- Someone who challenges the status quo, with a data-first, problem-solving mindset
What Sets This Role Apart
- Opportunity to influence and shape a modern data platform from an early stage
- Exposure to cutting-edge projects, including future AI/ML initiatives
- A culture that values ownership, technical curiosity, and continuous improvement
- Strong focus on career development, mentoring and progression
- Manchester (Hybrid - 2 days onsite)
- Up to £80,000 + strong benefits package
If you're a true hands-on engineer who enjoys solving complex problems and wants to make a real impact in a growing data function, this is an excellent opportunity to step into a high-visibility senior role. Please get in touch today for further information.
