Data Modelling & Analytics Engineer (Databricks & Microsoft Fabric)

Data Modelling & Analytics Engineer (Databricks & Microsoft Fabric) is required by a global software company to join its AI & Data team, and to design and deliver high-quality analytics-ready data supporting decision making across the organisation.

You will be responsible for:

• Owning and improving the Gold layer of the Databricks Medallion Architecture, delivering business-ready datasets
• Designing and building scalable data models (star schema, SCD/CDC) for a reliable semantic layer
• Building and optimizing data pipelines across Bronze, Silver, and Gold layers
• Developing solutions in Databricks and integrating with Microsoft Fabric for end-to-end workflows
• Translating business needs into clear, governed data models
• Enhancing and scaling Microsoft Fabric analytics solutions
• Driving best practices in data modelling, governance, and architecture
• Troubleshooting and improving ETL/ELT processes for performance and reliability
• Documenting data models, pipelines, and transformations for reuse and clarity

Required experience and skills:

• Hands-on experience with Databricks, including Medallion Architecture (with focus on Gold layer design).
• Data modelling including Star schema & dimensional modelling and SCD/CDC patterns
• Experience designing and delivering analytics-ready datasets and semantic layers for BI tools
• SQL and Python
• Exposure to Microsoft Fabric
• Experience in building lakehouse architectures for enterprise analytics
• Familiarity with CI/CD, Azure DevOps, and modern data engineering practices