Analytics Engineer

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 with employees from different nationalities and backgrounds working across France 🇫🇷, 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 🙌

Our vision is to enable a data-driven decision-making culture at Stuart. We want to reduce the time to insight into the company by ensuring the availability, reliability, and accessibility of the data across all teams and countries at Stuart.

As an Analytics Engineer, you will get to know everything about Stuart's key products and projects from a data standpoint. You will build high quality data pipelines and models, by applying software engineering best practices to analytics (powered by dbt core). We serve all team's analytical needs by building gold-standard models in our data warehouse as well as testing and documenting them. Next to that you'll play a key part in our mission to create a self-serve data culture, empowering everyone in Stuart to answer their own questions by using tools that match their needs.

You will be reporting to the Engineering Manager of Data Foundations.

What will I be doing? 🤔

• Build data pipelines and model data in our data warehouse, to allow anyone across the business to interact with data in the level of detail they need.
• Lead data projects from start-to-end, from requirement gathering to fostering adoption of the newly created data assets.
• Understand the developments in the business, and translate them to technical / data needs.
• Propose improvements to our data models and work together with the Data Platform team to improve our data toolkit.
• Work together with our analysts to build scalable reporting.
• Foster data discovery and strengthen data knowledge across the company by writing comprehensive documentation and metrics definitions.
• You'll go the extra mile to teach what you know about our data and toolkit
  
  
  
  

What do we need from you? 😎

• 2+ years of experience in SQL and data warehousing
• 2+ year of hands-on experience with dbt core and Airflow in production environments (mandatory)
• 1+ years of experience working with reporting and data visualization tools such as Superset, Tableau, or equivalent
• Experience with Python and key data libraries (e.g. pandas, numpy, matplotlib)
• Ability to foster a self-serve data culture and empower cross-functional teams with data
• Strong communication skills in English; capable of translating complex data topics to both technical and non-technical stakeholders
• Our Data stack is made up of AWS S3, Redshift, Airbyte, dbt core, Airflow, and Superset
  
  
  
  

The stuff you want to know 😉

• Work in an international, dynamic and passionate environment with a company culture focused on learning and development 🎉
• Hybrid working model and flexible hours ✨
  
  
  
  

Current benefits include:

• Ticket Restaurant by Edenred (€11 daily) 🥗
• Wellness Allowance (€40 monthly) to use in any gym or sport class 🧘
• Private healthcare provided by Alan 🧑‍⚕️
• Free monthly Bicing card 🚲
• Parents-friendly environment - Monthly Childcare voucher Social activities and events (family day, regular community lunch, ceramic class, yoga, gardening class...) 🎈
• Work-from-Anywhere policy (enjoy 30 days per year working from anywhere!) 🏞
  
  
  
  

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 🤗
Want to learn more about us? Visit https://stuart.com/about-us/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.