Data Engineering Intern
Qonto · 🌍 Paris, France
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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Sponsor Radar — Qonto
This employer posted directly and does not match a government sponsor register.
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About the role
Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, https://www.trustpilot.com/review/qonto.com based on 55,000+ reviews. Our culture https://qonto.com/en/careers/culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here https://medium.com/qonto-way/the-qonto-way-our-culture-is-our-strategy-90defd4895f9). Our journey: Founded in 2017 by Alexandre https://www.linkedin.com/in/aprot/ and Steve https://www.linkedin.com/in/steveanavi/, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process https://medium.com/qonto-way/a-recruiters-dilemma-confronting-bias-in-hiring-b78acce148eb because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here https://medium.com/qonto-way/ai-at-qonto-vision-statement-725a7e2f659b) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as a Data Engineer Intern to help build the pipelines and tools that power Qonto's Data Platform. You'll ship a real, end-to-end project that makes data more accessible across the company, working alongside Charles https://www.linkedin.com/in/charles-andre/, our Lead Data Engineer, and mentored day-to-day by Michael https://www.linkedin.com/in/michael-ourch/, Senior Data Engineer. ➡️ What you'll do - Build data pipelines: Create and maintain batch and real-time pipelines that move data across Qonto's platform. - Connect new data sources: Help ingest data from internal and external systems into our centralized warehouse. - Build internal tools: Design web interfaces that make data more accessible to internal stakeholders. - Automate and improve: Contribute to the tooling and automation that keeps the data platform reliable. - Run your own project: Own an exploration project end-to-end and demo it to the team. ➡️ What we're looking for - Python: You write clean, maintainable code and know how to structure a real project, not just scripts. - Data modeling: You understand how to structure data with tables, schemas, and SQL. - Final-year student: You're in your final year (M2) of a Master's in Data Engineering, Data Science, or Software Engineering. - AI-native: You use AI tools daily to learn faster and get more done. - Communication: You communicate clearly and work smoothly with stakeholders across different teams. ➡️ What we can offer you - Daily mentorship: Hands-on, day-to-day mentorship from a senior Data Engineer on the team. - Real ownership: You'll run your own exploration project end-to-end, not just support someone else's. - Modern, AI-native stack: Unlimited access to AI tools like Claude Code to accelerate your work. Perks - Flex your schedule. Work from home up to 2 days a week with our hybrid policy. Stay active. Gympass gives you access to 3,000+ sports and wellness partners. Eat well. Lunch card, 50% on us. Get around. 50% of the cost of your public transportation pass is covered. Enjoy the rest. Team events, snacks, and beverages. Take