Analytics Engineer

Analytics Engineer

Posted 2 weeks ago by McGregor Boyall

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£500 Per day
Outside
Hybrid
London, England, United Kingdom
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Agile Methodology Azure Databricks Azure Data Factory Business Intelligence Tools Continuous Integration and Continuous Delivery Databricks Data Engineering Datamodel Data Modeling Data Quality Dimensional Modeling Git (Version Control System) Microsoft Azure Power BI Python (Programming Language) Software Engineering SQL (Programming Language) Stakeholder Management Workflows

Summary: The Analytics Engineer role is a contract position focused on transforming a logistics company's data estate by building scalable data models and automated pipelines on an Azure-based platform. The successful candidate will work within a new data team, bridging data engineering and analytics to enable self-serve analytics across the organization. This position requires collaboration with analysts and stakeholders to translate requirements into technical solutions. The role is based in London, with a hybrid working arrangement of three days on-site per week.

Key Responsibilities:

  • 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
  • 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 documentation and data governance
  • Support best practices in analytics engineering and provide guidance to junior team members

Key Skills:

  • 5+ years' experience in analytics engineering or closely related roles
  • Strong proficiency in SQL, Python, and dbt (or similar transformation tools)
  • Hands-on experience with Azure Databricks, ADF, and cloud-based data platforms
  • Solid understanding of dimensional modelling, lakehouse/warehouse design, and scalable architecture
  • Familiarity with Git, CI/CD, and modern software engineering workflows
  • Confident using Power BI or similar BI tools to support self-service analytics
  • Strong communication skills, able to work with both technical and non-technical teams
  • Comfortable in fast-moving, agile environments

Salary (Rate): £500.00/daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

Analytics Engineer (Contract) £500/day (Outside IR35) London (3 days/week on-site) 6-month initial contract

The Role

A major logistics business 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.

Key Responsibilities

  • 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
  • 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 documentation and data governance
  • Support best practices in analytics engineering and provide guidance to junior team members

What We're Looking For

  • 5+ years' experience in analytics engineering or closely related roles
  • Strong proficiency in SQL, Python, and dbt (or similar transformation tools)
  • Hands-on experience with Azure Databricks, ADF, and cloud-based data platforms
  • Solid understanding of dimensional modelling, lakehouse/warehouse design, and scalable architecture
  • Familiarity with Git, CI/CD, and modern software engineering workflows
  • Confident using Power BI or similar BI tools to support self-service analytics
  • Strong communication skills, able to work with both technical and non-technical teams
  • Comfortable in fast-moving, agile environments

The Setup

Contract: 6 months initially (large book of work, extension likely)

Location: Central London (3 days/week in office)

Rate: £500/day (Outside IR35)

Interested? Apply now. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

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