> Markdown version of [/jobs/ext/4171866-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/4171866-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:** Expert - **Salary:** £117,000.0 - £143,000.0 - **Contract:** Temporary contract - **Skills:** Airflow, Data Analysis, Data Systems, Performance Tuning, Standard Sql, SQL Databases, Snowflake, Looker Analytics, Data Pipelines - **Published:** October 19, 2026 - **Apply:** https://www.reed.co.uk/jobs/analytics-engineer/57470867 ## About the Role * Extensive experience operating within Snowflake environments * Airflow for data orchestration. * Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. * Strong communication skills with the ability to translate complex needs into elegant data solutions. * Focus on usability, documentation, and data clarity. * Comfortable working independently in a dynamic, fast-changing environment. DESIRABLE SKILLS * Experience rebuilding or refactoring a Looker instance from scratch. * Familiarity with Snowflake performance tuning and cost optimization. * Experience scaling analytics across a cross-functional organisation, * sql * modeling * airflow * snowflake * dbt ## Description You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You'll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient. Your responsibilities will include: * Ingest and migrate data sets into their AWS Snowflake platform. * Designing and implementing dbt models that power clean, consistent metrics. * Buidl out orchestartion pipelines using Airflow * Creating clear documentation for dashboards, metrics, and models. * Ensuring optimal performance and cost efficiency across Snowflake * Supporting a stakeholder-first approach to data usability and access.