Analytics Engineer

Stuart is a leading tech-enabled logistics platform transforming on-demand delivery across food, grocery, and retail sectors. Operating in over 130 European cities, Stuart connects businesses with independent couriers for fast, flexible, and efficient deliveries. As an Analytics Engineer at Stuart, you'll be at the heart of enabling data-driven decision-making across the company. You'll build high-quality data pipelines and models using dbt, applying software engineering best practices to analytics. Your role involves integrating new data points into the data lake, building gold-standard models in the data warehouse, and fostering a self-serve data culture.

Key responsibilities include:

• Building data pipelines and modeling data in the warehouse
• Collaborating on end-to-end data projects
• Working with analysts to build scalable reporting
• Maintaining core datasets used company-wide
• Writing comprehensive documentation and metric definitions

The ideal candidate has 2+ years of experience with dbt, SQL, data warehousing, Python, and data visualization tools. Knowledge of Git and team coding experience is essential. You'll work with a tech stack including AWS S3, Redshift, Airbyte, dbt, Airflow, Castor, Tableau, and Superset.

Stuart offers a dynamic, international environment with a focus on learning and development. Benefits include a hybrid working model, flexible hours, wellness allowance, private healthcare, and a work-from-abroad policy. Join a diverse team of 280+ employees across France, Italy, Poland, Spain, and the UK, and help shape the future of sustainable urban logistics.