Analytics Engineer

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.