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Analytics Engineer

EMBS TechnologyUnited Kingdom
£65k–90k · statedRemote · UKMid-Senior Level

Skills

  • DATABRICKS
  • SQL
  • DELTA LAKE
  • UNITY CATALOG
  • DBT
  • LAKEFLOW
  • SEMANTIC LAYER
  • DIMENSIONAL MODELLING
  • GIT
  • CI/CD
  • AUTOMATED TESTING
  • POWER BI

About the role

Analytics Engineer - Databricks & Data Modelling


Databricks | SQL | Delta Lake | Unity Catalog | dbt / Lakeflow | Semantic Layer


Salary: £65,000 - £90,000

Location: UK / Remote


We're recruiting an Analytics Engineer for an established UK digital business investing in a modern, trusted data platform. You'll take ownership of the modelling and metrics layer between raw data and the teams using it. The aim is to give analysts, reporting tools and AI one reliable, well-documented source of truth.


The role


  • Transform bronze and silver data in Databricks into clean, tested and documented gold-layer models.
  • Design core quote, policy and claims models, with consistent metrics for finance, pricing, marketing and operations.
  • Define, document and test shared metrics so teams work from the same numbers.
  • Build and maintain a semantic layer, including metric views, Genie spaces and clear data descriptions.
  • Investigate incorrect AI-generated answers, improve the underlying models and definitions.
  • Provide governed datasets for Power BI reporting and pricing analysis.
  • Design data grain and metric history to support forecasting and anomaly detection.
  • Apply Git, code review, CI/CD, automated data tests and freshness checks to modelling.
  • Set modelling standards and support analysts contributing to shared datasets.


What we're looking for


You'll have worked in analytics engineering, BI engineering or a similar modelling-focused role, ideally with production experience in Databricks or another lakehouse environment. We're looking for:


  • Expert SQL and strong dimensional modelling: facts, dimensions, grain and slowly changing dimensions.
  • Hands-on Databricks, including Delta tables, workflows and Unity Catalog.
  • Experience with dbt, Databricks Lakeflow or another production modelling framework.
  • Git, code review, automated testing and well-maintained documentation.
  • Ability to agree metric definitions with commercial stakeholders and explain complex models clearly.


Experience with Databricks metric views, Genie, Power BI modelling, Python, insurance data, pricing models or AI-ready datasets would be beneficial.


What's on offer


  • Permanent role with a salary of £65,000 - £90,000.
  • Opportunity to establish trusted metrics and modern data modelling standards.
  • Work at the intersection of data engineering, BI, commercial analytics and AI.


Interested? Get in touch to find out more.

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