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:

• 5+ years' experience in analytics engineering, data engineering, or closely related roles
• Strong proficiency in SQL, Python, and dbt (strongly preferred)
• Hands-on experience with Azure Databricks and cloud-based data platforms (Snowflake experience also valued)
• Solid understanding of dimensional modelling, lakehouse/warehouse design, and modern data stack
• Familiarity with Git, CI/CD, and software engineering best practices
• Experience with Power BI (or Tableau/Looker) to support self-service analytics
• Strong communication skills - able to translate technical concepts to non-technical stakeholders
• Comfortable in fast-moving, agile environments with multiple priorities

Why now?

• Shape the future of data at a company undergoing real transformation
• Work with modern data stack (Azure Databricks, dbt, Power BI)
• Build something from scratch with proper investment and backing
• Make tangible impact on business decisions across the organisation

Interested? Apply now.