Lead Analytics Engineer (Databricks / Fabric)

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Quick Summary

Overview

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.

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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.

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

Responsibilities

~1 min read

→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

Requirements

~1 min read

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