> Markdown version of [/jobs/ext/4699542-analytics-engineering-london](https://www.wearedevelopers.com/jobs/ext/4699542-analytics-engineering-london). 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 Engineering (London) - **Company:** START Munich - **Location:** Epsom, United Kingdom - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon S3, Data Analysis, Python (Programming Language), Snowflake, Data Pipelines - **Published:** November 13, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/analytics-engineering-london/55863940 ## About the Role At least 5 years of engineering experience with an analytical mindset Solid understanding of architectures, design principles and engineering best practices Experience across all stages of the data pipeline: ingestion, transformations, mart creation Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT ## Description You will join a product delivery team and be responsible for ingesting, modelling, and publishing data to scale our business. You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices. Working closely with product and business stakeholders to define and build meaningful product metrics Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders. Improving our architecture (cloudbased and always evolving) based on what brings the most impact to cost reduction and speed, applying software engineering best practices Taking ownership of projects from scoping to delivery and adoption, working autonomously