Data Engineer

Your new company
Monmouthshire Building Society is an independent mutual with over 160 years of history serving communities across South Wales and the South West of England. We offer mortgages and savings built around our members'' needs, combining personal service, local knowledge and responsible lending. As a mutual, we reinvest profits back into the Society to support our members, our people and the communities 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 well-governed 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

• Delivery of reliable, scalable and well-governed data pipelines that meet business and regulatory requirements
• Operational stability and performance of core data platform services including Azure Databricks and Azure Synapse
• Availability of trusted, high-quality Gold-layer datasets for analytics and Power BI reporting
• Adherence to data security, access control and governance standards within a regulated environment
• Effective resolution of data pipeline and platform incidents with clear root-cause understanding
• Maintenance of accurate documentation, lineage and operational run books to support ongoing platform support

Key Responsibilities

• Develop and maintain data pipelines using Azure Databricks (Python, PySpark and SQL)
• Implement ingestion and transformation across Bronze, Silver and Gold layers using Delta Lake
• Support and operate Azure Databricks and Azure Synapse platforms, including performance monitoring and configuration
• Build Gold-layer datasets optimised for Power BI and analytics consumption
• Support production workloads, resolve incidents and maintain operational documentation
• Apply security, governance and access control standards suitable for a regulated environment
• Contribute to engineering standards, CI/CD pipelines and code reviews

What you''ll need to succeed

Essential

• Proven experience as a Data Engineer
• Strong hands-on experience with AzureDatabricks, Python, PySpark and SQL
• Experience supporting Azure data platforms in production
• Understanding of medallion architecture and Delta Lake

Desirable

• Experience with Azure Synapse Analytics
• Experience with Azure Data Factory
• Experience in financial services or regulated environments
• Dimensional modelling / star schema knowledge
• Databricks Certification

What you''ll get in return
Competitive Salary
Great Career Progression
Hybrid Working Policy - 2 days a week in the office.

Benefits Package

• 25 days paid holiday plus bank holidays
• Holidays - Purchase extra annual leave (up to 5 days)
• Additional day''s annual leave on birthday
• Contributory pension scheme - enrolment after 3rd month -3% employee contributions, 10% employer contributions
• 4 X life assurance
• Private healthcare scheme (after one year''s service)
• Employee Assistance Programme
• Corporate uniform for branch staff
• Health and wellbeing benefits including flu jabs and eye tests
• Staff Socials
• 35 hour working week

What you need to do now If you''re interested in this role, click ''apply now'' to forward an up-to-date copy of your CV.

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