> Markdown version of [/jobs/ext/3595635-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3595635-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** Harnham - **Location:** London, UK - **Experience:** Experienced - **Salary:** £75,000.0 - £80,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Airflow, Data Analysis, Business Intelligence Development, BigQuery, Information Engineering, Data Warehousing, Database Queries, Operational Databases, SQL Databases, Macros, Delivery Pipeline, Large Language Models, Git, Data Layers, Data Analytics, Apache Kafka, Data Management, Looker Analytics - **Published:** October 6, 2026 - **Apply:** https://www.reed.co.uk/jobs/analytics-engineer/57425131 ## About the Role * 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 ## Description 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