Your newpany
Monmouthshire Building Society is an independent mutual with over 160 years of history servingmunities across South Wales and the South West of England. We offer mortgages and savings built around our members’ needs,bining personal service, local knowledge and responsible lending. As a mutual, we reinvest profits back into the Society to support our members, our people and themunities we serve.
Your new role
The Data Engineer will design, build, support and operate data pipelines and core data platform technologies within the organisation’s Azure-based analytics and lake house environment. The role is hands-on and implementation-focused, working within established architectural patterns to deliver reliable, secure and wellerned data for analytics, Power BI reporting and regulated finance use cases. The role also includes responsibility for supporting and maintaining underlying data platform services, including Azure Databricks and Azure Synapse.
Key Accountabilities
1. Delivery of reliable, scalable and wellerned data pipelines that meet business and regulatory requirements
2. Operational stability and performance of core data platform services including Azure Databricks and Azure Synapse
3. Availability of trusted, high-quality Gold-layer datasets for analytics and Power BI reporting
4. Adherence to data security, access control andernance standards within a regulated environment
5. Effective resolution of data pipeline and platform incidents with clear root-cause understanding
6. Maintenance of accurate documentation, lineage and operational run books to support ongoing platform support
Key Responsibilities
7. Develop and maintain data pipelines using Azure Databricks (Python, PySpark and SQL)
8. Implement ingestion and transformation across Bronze, Silver and Gold layers using Delta Lake
9. Support and operate Azure Databricks and Azure Synapse platforms, including performance monitoring and configuration
10. Build Gold-layer datasets optimised for Power BI and analytics consumption
11. Support production workloads, resolve incidents and maintain operational documentation
12. Apply security,ernance and access control standards suitable for a regulated environment
13. Contribute to engineering standards, CI/CD pipelines and code reviews
What you'll need to succeed
Essential
14. Proven experience as a Data Engineer
15. Strong hands-on experience with AzureDatabricks, Python, PySpark and SQL
16. Experience supporting Azure data platforms in production
17. Understanding of medallion architecture and Delta Lake
Desirable
18. Experience with Azure Synapse Analytics
19. Experience with Azure Data Factory
20. Experience in financial services or regulated environments
21. Dimensional modelling / star schema knowledge
22. Databricks Certification
What you'll get in return
petitive Salary
Great Career Progression
Hybrid Working Policy – 2 days a week in the office.
Benefits Package
23. 25 days paid holiday plus bank holidays
24. Holidays – Purchase extra annual leave (up to 5 days)
25. Additional day’s annual leave on birthday
26. Contributory pension scheme – enrolment after 3rd month -3% employee contributions, 10% employer contributions
27. 4 X life assurance
28. Private healthcare scheme (after one year’s service)
29. Employee Assistance Programme
30. Corporate uniform for branch staff
31. Health and wellbeing benefits including flu jabs and eye tests
32. Staff Socials
33. 35 hour working week