Lead Analytics Engineer

Hiring: Lead Analytics Engineer (Databricks/Fabric)

We're working with a forward-thinking organisation looking to bring in a Lead Analytics Engineer to shape and drive their data strategy, building a scalable, business-critical analytics layer.

Role Details:

• Salary: £80,000 - £85,000
• Location: London (3 days onsite)
• Reporting to: Principal for Data & AI

What You'll Be Doing:

• Lead the design and orchestration of data pipelines, semantic models, and analytics layers
• Build Fabric workflows and move business logic into the Gold layer (Medallion Architecture)
• Develop DBT models to create a scalable and trusted source of truth
• Design and implement Fact & Dimension (F&D) data models for analytics and reporting
• Own and optimise Databricks workflows, ensuring performance and scalability
• Drive decision-making frameworks through high-quality, well-modelled data
• Conduct root cause analysis, optimise ETL pipelines, and improve data reliability

Key Skills & Experience:

• Strong experience with Databricks (Spark, Delta, Workflows, Unity Catalog)
• Hands-on expertise in SQL & Python (Databricks notebooks, Pandas)
• Proven experience building data warehouses/lakehouses for BI & analytics
• Deep understanding of data modelling principles (Star Schema, SCD, CDC, Fact & Dimension design)
• Experience with DBT, CI/CD pipelines, and Azure DevOps
• Exposure to Microsoft Fabric & Semantic Models
• Strong analytical mindset with the ability to translate data into business insights

Why Join?

• Be the technical authority shaping the organisation's data & analytics layer
• Work with modern platforms including Databricks & Microsoft Fabric
• Collaborate with a high-performing Data & AI team in a strategic role