> Markdown version of [/jobs/ext/3593314-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3593314-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 - **Salary:** £70,000.0 - £80,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Business Intelligence Development, Data Validation, Information Engineering, Extract Transform Load (ETL), Sql Optimization, Data Analytics, Looker Analytics - **Published:** October 6, 2026 - **Apply:** https://www.reed.co.uk/jobs/analytics-engineer/57425167 ## About the Role The ideal candidate will have the following skills and experience: * Strong commercial experience in Analytics Engineering, Data Engineering, or modern BI development * Advanced SQL skills with the ability to write efficient, scalable queries * Hands-on experience with dbt * Experience with GCP * Experience with Airflow * Strong experience building and maintaining ELT/ETL pipelines * Experience working with Looker and LookML * Knowledge of dimensional modelling and analytics best practices * Experience collaborating with both technical and non-technical stakeholders * Experience working with AI tooling ## Description The Analytics Engineer will: * Design, build, and maintain scalable data models using dbt * Develop and optimise ELT/ETL processes for analytical use cases * Support the organisation's Looker environment, including LookML development * Work closely with Data Engineering teams to prepare and model data effectively * Build reliable, well-documented datasets that analysts can confidently consume * Implement data quality checks, testing, and monitoring processes * Support analytics projects across marketing, product, commercial, and operational teams * Contribute to the development of AI-enabled analytics capabilities and conversational analytics tooling * Identify opportunities to automate, optimise, and improve existing workflows