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Analytics Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harnham - Data and Analytics Recruitment
Full Time, Part Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 70000 - 80000 GBP Yearly GBP 70000.00 80000.00 YEAR
Job Description & How to Apply Below
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 Big Query 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 Big Query
  • 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
    Big Query
  • 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
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