Job Details

Analytics Engineer

BBBH167973_1760526688
  • Negotiable
  • West End, London
  • Permanent

Analytics Engineer


London (onsite) | Full-Time, Permanent

We're on an exciting data transformation journey and are looking for a skilled Analytics Engineer to join our growing data team.

In this role, you'll help design and implement scalable, high-performance data infrastructure using the modern data stack, including Azure Databricks, Azure Data Factory, dbt, SQL, Python, and Power BI. You'll act as the bridge between data engineering and analytics-building robust data models, automated pipelines, and self-service tools that drive decision-making across the business.

This is a hands-on technical role with real impact. You'll collaborate with engineers, analysts, and stakeholders to deliver clean, trusted, and accessible data.

Key Responsibilities:

  • Develop and maintain data pipelines using Databricks and ADF
  • Create dimensional models and transformation workflows using dbt
  • Implement automated data quality checks and monitoring systems
  • Empower business users through self-service analytics using Power BI
  • Document technical processes and uphold coding standards
  • Collaborate with cross-functional teams to gather and deliver on data requirements
  • Mentor junior team members and promote best practices

What You'll Bring:

  • 5+ years in data or analytics engineering roles
  • Proficiency in SQL, Python, and dbt
  • Experience with Azure or similar cloud data platforms
  • Strong understanding of data architecture, modelling, and governance
  • Familiarity with CI/CD, Git, and infrastructure as code principles
  • Excellent problem-solving and communication skills

If this sounds like a good fit, and you can commit to 5 days per week onsite in central London, please apply!

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

Luke Thomson Delivery Consultant

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