Analytics engineer

Analytics Engineer | £60-75K | London (5 days/week on-site) | Permanent


Bridge the gap between data engineering and analytics

A major logistics company is undergoing a full rebuild of its legacy, siloed data estate - and we're hiring an experienced Analytics Engineer to help drive the transformation.

You'll join a newly formed data team under a new Head of Data, working on a clean-slate Azure-based platform. The role bridges data engineering and analytics, focused on building scalable data models, automated pipelines, and enabling self-serve analytics across the organisation.

What you'll be doing:

* Build and maintain scalable data pipelines using Azure Data Factory and Databricks
* Develop transformation workflows in dbt, SQL, and Python
* Design dimensional models and semantic layers to support analytics use cases
* Implement automated data quality checks, monitoring, and alerting systems - linking issues to business impact
* Create reusable data assets and documentation to support self-serve analytics via Power BI
* Work with analysts and business stakeholders to translate requirements into technical solutions
* Maintain clean, version-controlled codebases and contribute to data governance
* Provide technical guidance to junior team members and promote best practices

What they're looking for: