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 UK. 🇬🇧
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 role
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 Senior 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.
You will join the Data Platform team and report to Miklos Horn, Engineering Manager, based in Barcelona (Spain).
What will I be doing? 🤔
- 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.
- Utilize pair programming, code reviews, and workshops to share knowledge about Python, code architecture, tooling, integration, and deployment, fostering team collaboration.
- Monitor and optimize data pipelines for performance and reliability, ensuring seamless data flow across the platform.
What do we need from you? 😎
The stuff you wanna know 😉
- Current benefits include:
- Work in an international, dynamic & passionate environment with a company culture focused on learning and development 🎉
- Hybrid working model and flexible hours ✨
- Ticket Restaurant by Edenred (€11 daily) 🥗
- Stuart Academy, offering a wide range of upskilling and development opportunities 🎓
- Private healthcare provided by Alan 🧑⚕️
- Wellness allowance (€40 monthly) to use in any gym or sports class 🧘
- Free monthly Bicing card 🚲
- 2 volunteer days per year to have a positive impact on our communities and the environment 💚
At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact 🙌
Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status 💙
Please note: Our Talent Acquisition Team is international coming from across the world 🌍 We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you 🤗
