Company: Careerwise
Location: London
Job Description:
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
Posted: April 9th, 2026