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The Opportunity
An exciting opportunity has arisen for a Data Engineer to join Monmouthshire Building Society's growing Data Team. This is a hands-on role focused on designing, building and supporting modern data solutions within an Azure-based analytics and lakehouse environment.
As a key member of the team, you will help deliver reliable, secure and well-governed data platforms that support analytics, Power BI reporting and regulated financial services operations. Working closely with data specialists, business stakeholders and technology teams, you will play a vital role in shaping trusted data solutions that drive informed decision-making across the organisation.
Key Responsibilities
- Develop and maintain data pipelines using Azure Databricks, leveraging Python, PySpark and SQL.
- Design and implement data ingestion and transformation processes across Bronze, Silver and Gold layers using Delta Lake.
- Support, monitor and maintain Azure Databricks and Azure Synapse platforms to ensure operational stability and performance.
- Build and optimise Gold-layer datasets for Power BI reporting and wider analytics consumption.
- Support production workloads, troubleshoot incidents and perform root cause analysis to minimise disruption.
- Ensure adherence to data security, governance and access control standards within a regulated environment.
- Maintain accurate technical documentation, data lineage records and operational runbooks.
- Contribute to engineering best practices, including code reviews, CI/CD pipelines and continuous improvement initiatives.
- Work collaboratively with stakeholders to deliver scalable, high-quality data solutions aligned to business needs.
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About You
You will be a technically capable Data Engineer who enjoys building and supporting modern data platforms. You'll have a strong understanding of data engineering principles and a proactive approach to solving problems in a production environment.
You'll bring:
- Strong hands-on experience working with cloud-based data platforms.
- A passion for delivering reliable, scalable and high-quality data solutions.
- Excellent analytical and problem-solving skills.
- The ability to work effectively with both technical and non-technical stakeholders.
- A collaborative mindset and commitment to engineering best practices.
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Essential Skills & Experience
- Proven experience working as a Data Engineer.
- Strong hands-on experience with Azure Databricks, Python, PySpark and SQL.
- Experience supporting Azure-based data platforms in a production environment.
- Good understanding of Medallion Architecture and Delta Lake.
- Experience building, maintaining and troubleshooting data pipelines.
- Understanding of data governance, security and access controls.
- Experience working with analytics and reporting datasets.
- Knowledge of CI/CD processes and software engineering best practices.
Desirable Skills & Experience
- Experience with Azure Synapse Analytics.
- Experience with Azure Data Factory.
- Experience working within financial services or other regulated environments.
- Knowledge of dimensional modelling and star schema design.
- Relevant Databricks certifications.
- Exposure to Power BI and wider analytics platforms.
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