Data Engineer

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.

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.

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.