Senior Data Engineer
Senior Data Engineer in Royal London's Group Data & AI Office, hands-on designing, building and optimising governed, scalable data pipelines and data products using Databricks, PySpark and Python. Hybrid role (50% home/50% office) based in Alderley Park (Wilmslow) or Glasgow, with mentoring but no formal people management.
- Compensation
- Not disclosed
- Location
- City of Edinburgh, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Strong commercial experience with Databricks
- Advanced knowledge of PySpark and strong Python development skills
- Building enterprise-scale data pipelines and data products
- Working within mature engineering environments
- Applying data governance principles, controls and engineering standards
- Improving performance, resolving technical challenges and driving continuous improvement
- Communicating technical detail clearly, with evidence of hands-on delivery
Nice to have
- Financial services experience
Full description
Contract Type: PermanentLocation: Alderley Park (Wilmslow) or GlasgowWorking Style: Hybrid - 50% from home / 50% office based
We have an exciting opportunity for a Senior Data Engineer to join Royal London’s Group Data & AI Office. This is a newly created role within our Core Engineering team, supporting the development and curation of foundational data products that underpin strategic transformation activity and business‑as‑usual delivery across Royal London.
This is a great opportunity for someone who enjoys hands‑on data engineering, working with modern cloud‑based technologies and helping shape scalable, governed data solutions. You’ll play a senior technical role in designing, building and optimising data pipelines and data products, using tools such as Databricks, PySpark and Python.
About the role
As Senior Data Engineer, you’ll help create, maintain and improve high‑quality data products that support key business initiatives. You’ll work as part of a mature engineering environment, taking ownership of workstreams and contributing to engineering standards, governance and continuous improvement.
You’ll collaborate with stakeholders and wider engineering teams to understand requirements, build robust solutions and make sure our data products are scalable, secure and fit for purpose. While this role does not include formal people management responsibilities, you’ll have the opportunity to support, coach and mentor colleagues where appropriate.
Key responsibilities will include:
- Designing, building and optimising data pipelines and data products.
- Developing data engineering solutions using Databricks, PySpark and Python.
- Creating and maintaining notebooks, frameworks and reusable engineering components.
- Contributing to data governance, technical standards and engineering best practice.
- Identifying opportunities to improve performance, efficiency and delivery processes.
- Taking ownership of technical workstreams and driving them through to completion.
- Collaborating with technical and non‑technical stakeholders across Royal London.
- Supporting and mentoring colleagues within the wider engineering community.
What you’ll bring to the role
We’re looking for a Senior Data Engineer with strong hands‑on technical expertise and the confidence to work in a senior engineering role. You’ll be comfortable taking ownership, solving complex problems and explaining technical concepts clearly to different audiences.
We’re particularly interested in experience of:
- Strong commercial experience with Databricks.