Job Description
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.
