Description
As a Data Engineer within the Reporting function at Davies, you will design, develop, and deliver high-quality reporting and data solutions using the Azure BI stack.
You will work with Azure SQL, Data Factory, SSRS, Power BI, and T-SQL to build accurate, reliable, and high-performing reports, dashboards, datasets, and data pipelines.
Your responsibilities will include:
- Developing and maintaining SSRS reports to support internal and customer MI/BI needs
- Delivering and enhancing performance dashboards for operational teams and external clients
- Building complex T-SQL queries, stored procedures, and data models
- Developing datasets, semantic models, and data structures for Power BI reporting
- Ensuring data accuracy through rigorous testing, debugging, and validation
- Creating and maintaining report models using SQL Server, Power BI, and other reporting tools
You will also work on data pipelines and Azure BI stack, including:
- Developing data pipelines and workflows using Azure Data Factory
- Building and optimising Azure SQL database structures for performance and reliability
- Contributing to CI/CD pipelines for automated delivery of reporting assets
- Ensuring adherence to data engineering and software development standards
Additionally, you will collaborate with stakeholders, including:
- Working closely with business users to clarify requirements and support data interpretation
- Collaborating with developers, BI engineers, and analysts to deliver shared reporting outcomes
- Troubleshooting and resolving reporting issues, ensuring timely delivery of accurate data
- Liaising with third-party vendors as required throughout the development lifecycle
You will also contribute to improving reporting patterns, development standards, and team processes, support colleagues through guidance, coaching, and knowledge sharing, and champion modern, automated, test-driven approaches within the reporting function.