Data Engineering Intern

• 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.

• 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.

• 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 time off. 1 paid day off per month, no questions asked.

Be yourself. An inclusive, supportive environment where everyone belongs.