Analytics Engineer (DBT, GCP, LOOKER)

Permanent Role

£70,000-£80,000 + Benefits
London - Hybrid (3 days per week)

I am currently recruiting for an Analytics Engineer to join a leading global organisation within their growing Data & Analytics function.

This is a hands-on role where you will take ownership of the modelled data layer, working with dbt and BigQuery to build the data products that underpin reporting, self-service analytics and data activation across the business.

You will work closely with Data Engineering, analysts and wider stakeholders, helping to evolve the data warehouse into a scalable global platform and shaping best practices around data modelling, quality and documentation.

The Role:

• Design, build and maintain staging, mart and analytics models using dbt and BigQuery
• Develop scalable data models supporting multiple regions and entities
• Build and maintain data models powering Looker / LookML
• Implement data quality through dbt testing, monitoring and alerting
• Work with Data Engineering around upstream dependencies and data contracts
• Maintain data lineage, documentation and metric definitions
• Review SQL and dbt work and help improve modelling standards
• Optimise query performance, costs and deployment workflows
• Support the use of AI / LLM tools on top of well-modelled data

What we're looking for:

• 3+ years' experience across Analytics Engineering, Data Engineering or BI Development
• Strong SQL skills with experience building production data models
• Hands-on experience with dbt, including models, tests, macros and documentation
• Strong production experience with BigQuery
• Experience using Python for data work and automation
• Experience with Airflow or Cloud Composer
• Strong understanding of dimensional data modelling
• Experience with Looker / LookML or a similar BI platform
• Good understanding of Git and modern data development practices

Desirable:

• Wider GCP experience
• Experience working with Kafka / event data
• Experience migrating or restructuring data warehouses
• Experience supporting global or multi-region data platforms
• Interest in AI / LLM applications within data and analytics

If you are interested in the role, please apply. To follow up, please message me on LinkedIn.