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 supportKey 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 reviewsWhat 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 LakeDesirable
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 weekWhat 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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