Data Engineering Intern

AI in this role

claudeclaude-code

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, based on 55,000+ reviews. Our 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).

Our journey: Founded in 2017 by Alexandre and Steve, 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 because the best teams are built on merit.

AI at Qonto: AI is deeply embedded in how we work (here) - 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.

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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, our Lead Data Engineer, and mentored day-to-day by Michael, 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 time off. 1 paid day off per month, no questions asked.
Be yourself. An inclusive, supportive environment where everyone belongs.

At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along.

By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.

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On average, our hiring process lasts 15 working days, with 3 steps:

Interview with our recruiter
Interview with your future mentor/manager
Case Study debrief

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🔒 Your security matters to us

Recruitment scams are on the rise. Keep in mind, we will never work with third-party platforms or agencies that request payment from candidates.

If you receive a suspicious message claiming to be from Qonto, please report it right away (support@qonto.com)

How we rate this

Data Engineering Intern at Qonto rates 53 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Data Engineering Intern is an open job at Qonto.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Paris, France.
The job was posted on October 6, 2026.
Seniority: intern.
Applications are handled by Qonto. Apply on Qonto

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ClaudeClaude Code

Questions you could be asked

What's a project where you used Claude hands-on?
Walk me through how you've used Claude Code in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: Claude and Claude Code. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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