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Stuart is a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, Stuart connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries. Our Mission - We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today's environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience. Stuart is a highly diverse and inclusive company of 280+ employees from different nationalities and backgrounds working across France, Italy, Poland, Spain and the U.K. It's the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision. The Data Platform empowers most of Stuart's data-driven decisions, facilitating key insights across the organization. We estimate that over half of all Stuart employees use the data platform to inform their business decisions each month. As a Data Engineer, you will collaborate closely with various analytical and engineering teams to provide solutions for the company's data needs: improving data quality, governance, and performance; and designing tooling to ingest, transform, explore, and visualize data.
Job Responsibility:
Design, implement, and maintain a robust Data Platform that collects, stores, and processes data, focusing on scalability and reliability
Work closely with Analytics Engineers, Data Analysts, and Software Engineers to develop self-serve data solutions for ingestion, transformation, visualization, and data protection, ensuring scalability to meet user needs
Employ DataOps practices to enhance data quality, governance, and operational efficiency across the platform
Monitor and optimize data pipelines for performance and reliability, ensuring seamless data flow across the platform
Requirements:
Fluency in English
2+ years of experience working with Python
Experience in designing and implementing data platforms, including ETL frameworks and CI/CD strategies for data pipelines
Familiarity with Analytical Data Stores, including Data Lakes and Data Warehouses
Knowledge of cloud services, particularly AWS, including Redshift, AWS Glue, and AWS Athena
Nice to have:
Experience with container-based deployments using Kubernetes or Docker Compose
Familiarity with Apache Kafka or other streaming platforms
Knowledge of Infrastructure as Code (IaC) tools, such as Terraform
Experience with data visualization tools
Background in incident management and response
Understanding of service observability principles and tools
What we offer:
Work in an international, dynamic and passionate environment with a company culture focused on learning and development
Hybrid working model and flexible hours
Ticket Restaurant by Edenred (€11 daily)
Wellness Allowance (€40 monthly)
Private healthcare provided by Alan
Free monthly Bicing card for non-remote workers
Social activities and events
Work-from-Abroad policy (enjoy 30 days per year working from anywhere!)