You will join a central Data Office responsible for delivering analytics, reporting, and data services that support business-critical decision-making.

You will work in a multidisciplinary Agile team. As a Data Engineer, you are responsible for building reliable, performant, and well-documented analytical data solutions. You work closely with functional analysts and architects to translate business requirements into robust data models and pipelines that support reporting and analytics.

You take ownership of the full data lifecycle: from ingestion and transformation to validation, documentation, and support.

What You’ll Do

• Design, build, and maintain data warehouses and data marts following Kimball dimensional modelling principles
• Develop and maintain ETL/ELT pipelines using the Microsoft BI stack and Azure Databricks
• Implement data ingestion, transformation, and validation processes aligned with performance and data-volume requirements
• Collaborate with Data Architects and Technical Leads on data models, standards, and architecture decisions
• Test, troubleshoot, and maintain analytical solutions in production
• Create and support reports and dashboards using Power BI and/or SSRS
• Prepare and deliver demos, prototypes, and explanations of data models to business stakeholders
• Contribute to technical documentation and knowledge sharing within the Data Office
• Work closely with the Project Leader throughout the full project lifecycle in an Agile/Scrum context