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.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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