Lead Analytics Engineer (Databricks | Lakehouse | Data Modelling)

We’re looking for a Lead Analytics Engineer to join a fast-growing AI & Data team, where you’ll play a critical role in shaping how data drives executive decision-making.

You will own the analytics layer, design scalable data models, and transform raw data into trusted, business-ready insights.

If you enjoy working with Databricks, modern lakehouse architectures, and data modelling, this role is for you.

What You’ll Be Doing

• Architect and build scalable data pipelines on Databricks
• Design and implement data models (Star Schema, Facts & Dimensions)
• Own the semantic / analytics layer (“single source of truth”)
• Work with Delta Live Tables, Unity Catalog, Workflows
• Optimize and troubleshoot complex ETL pipelines
• Collaborate with business and technical teams to deliver impactful insights
• Drive best practices across data architecture & engineering

What We’re Looking For

• Strong hands-on experience with Databricks (Spark, Delta Lake)
• Advanced SQL + Python (Databricks Notebooks, Pandas)
• Proven experience in data modelling (Star Schema, SCD, CDC)
• Experience building data warehouses / lakehouses
• Good understanding of Medallion Architecture
• Experience with Azure DevOps / CI-CD pipelines
• Ability to translate data into business value

Nice to Have

• Azure certifications (AZ-900, DP-203, DP-500)
• Databricks certifications
• Exposure to Microsoft Fabric
• Experience with AI-assisted development tools