
Analytics Engineer
- London
- Permanent
- Full-time
- Build scalable and reusable data models using dbt and Snowflake
- Own and optimise transformation pipelines, ensuring performance and cost-efficiency
- Develop data quality checks and monitoring using tools like Metaplane
- Collaborate with BI, Data Science, and Engineering teams to define requirements and deliver impactful datasets
- Document data models and promote best practices in analytics engineering
- Explore and integrate new tools (like Dagster) to improve scalability and workflow orchestration
- Strong SQL skills - you know how to write complex, clean queries
- Solid experience with dbt for building robust transformation pipelines
- Comfortable working in Snowflake, or similar cloud data platforms
- Some knowledge of Python for data tasks and automation
- Enjoy working in an agile, collaborative environment
- Technically curious - always keen to learn new tools and improve systems
- Experience with Metaplane, Fivetran, Dagster, Tableau
- Familiarity with version control tools like Git
- Data Stack: dbt, SQL, Snowflake, Python, Fivetran, Dagster, Metaplane, Tableau
- Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway
- Collaboration: GitHub, Jira, Confluence
- Analytics: GA4, GTM, GCP BigQuery
- We work in cross-functional teams to solve real customer problems
- We prioritise experimentation and learning fast
- We invest in modern data tools and continuous delivery
- We're always looking to improve, challenge assumptions, and grow together
- Stage 1: Recruiter screening call (20-30 mins)
- Stage 2: Interview with Hiring Manager and 1 other team member (45-60 mins)
- Stage 3: Final interview - split into two parts: