Data Modeler

New Today

Job Description

Role Summary


We are looking for a Lead Analytics Engineer with strong Databricks data modelling expertise to design and own the analytics layer.

You will transform raw data into trusted, business-ready datasets by building the Gold Layer, enabling a scalable single source of truth for reporting and decision-making.


Key Responsibilities


  • Design and build fact & dimension models (F&D) and semantic layers
  • Develop and optimize data pipelines in Databricks
  • Implement Medallion Architecture (Bronze, Silver, Gold)
  • Migrate logic from Microsoft Fabric into Databricks Gold Layer
  • Build and manage dbt models
  • Ensure data quality, governance, and documentation
  • Collaborate with stakeholders to deliver analytics-ready datasets


Required Skills


  • Strong experience with Databricks, SQL, and Python (Pandas)
  • Solid understanding of Spark, Delta Lake, and Databricks tools (DLT, Workflows, Unity Catalog)
  • Expertise in data modelling: Star Schema, SCD, CDC
  • Experience with dbt, Azure DevOps, CI/CD, and Git
  • Exposure to Microsoft Fabric


Experience


  • Proven background in data engineering/analytics engineering
  • Experience building data pipelines, lakehouses, and BI-ready datasets


Nice to Have


  • Azure certifications (AZ-900, DP-203, DP-500)
  • Databricks certifications (Lakehouse Data Engineer)

Apply
Location:
London
Job Type:
FullTime
Category:
Technology

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