Analytics Engineer – John Goddard Associates
London (5 days/week on-site) | Permanent | Salary: £60‑75K
Job Overview
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.
Application
Interested? Apply now.
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
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