At a Glance
- Tasks: Design and build data pipelines in a cutting-edge Azure environment.
- Company: A historic mutual bank focused on community and member needs.
- Benefits: Up to £55k salary, hybrid work, 25 days holiday, and private healthcare.
- Other info: Great career progression and a supportive work culture.
- Why this job: Join a team that values innovation and community impact in finance.
- Qualifications: Experience with Azure Databricks, Python, and SQL is essential.
The predicted salary is between 63000 - 77000 £ per year.
This company is an independent mutual with over 160 years of history serving communities across South Wales and the South West of England. They offer mortgages and savings built around their members' needs, combining personal service, local knowledge and responsible lending. As a mutual, they reinvest profits back into the Society to support their members, their people and the communities they serve.
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 succeedEssential
- Proven experience as a Data Engineer
- Strong hands-on experience with Azure Databricks, 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 (potentially 1)
- 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
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.
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