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# Analytics Engineer

- **Company:** embs
- **Location:** United Kingdom (Remote available)
- **Salary:** £65,000 - £90,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Code Review, Continuous Integration, Python (Programming Language), Power BI, SQL Databases, Git, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.cv-library.co.uk/job/225830888/analytics-engineer

## About the Role

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.

## Description

* 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.