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A leading fintech company based in Paris is looking for a Data Engineer Intern to help build and maintain their data infrastructure. You will be involved in creating data pipelines, building web interfaces for data access, and supporting data ingestion from various sources. The ideal candidate is pursuing studies in a relevant field, has strong Python programming skills, and is eager to learn about data infrastructure. Join a dynamic team with a focus on mentorship and collaboration.
Our mission? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance.
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:
Customer focus | Prioritize customers in everything you do
Ownership | Own your part, get things done
Teamwork | Make (team)work easy
Mastery | Continuously raise the bar
Integrity | Always do what’s right, and respect people
Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
Discover the steps we took to create a discrimination-free hiring process.
to help build and maintain the data infrastructure that powers data-driven decisions across the company.
As a Data Engineer Intern, you'll work closely with Victor Cumer, our Data Engineering Lead, and join a team of 7 highly skilled engineers building the data backbone of Qonto.
As a Data Engineer Intern at Qonto, you will
Build and maintain data pipelines that move and transform data across our systems, working with both batch and real-time processing.
Create web interfaces that help data analysts and data scientists access and use data more efficiently—making internal tools that other Qontoers will use.
Support data ingestion projects by connecting new data sources (both internal systems and external partners) to our data platform.
Improve tooling and automation for the data engineering team—streamlining workflows, reducing manual work, and making the platform more reliable.
Work on exploration projects that test new approaches or improve existing systems.
Learning-first environment: You'll be paired with experienced engineers who care about your growth. Expect regular feedback, pairing sessions, and mentorship throughout your internship.
Real impact from day one: You'll work on meaningful projects that contribute to our data platform.
Modern data stack: You'll work with Python, SQL, Airflow, dbt, Snowflake, and cloud infrastructure (AWS) - tools that are industry-standard in data engineering.
Collaborative team culture: The Data Engineering team values knowledge sharing and continuous improvement. You'll participate in team rituals, technical discussions, and have your voice heard.
Fintech context: Working in a regulated environment means you'll learn not just technical skills but also how to build reliable, secure systems at scale.
Victor Cumer, our Data Engineering Manager. He joined Qonto in October 2024 after leading data platform teams at Veepee, where he built scalable infrastructure for one of Europe's largest e-commerce groups. Victor has expertise across the full data stack and values clear communication and continuous learning. He'll work closely with you to support your growth throughout the internship.
Python programming: You're comfortable writing Python code and eager to apply it to real data problems.
Database fundamentals: You understand basic SQL and database concepts (tables, queries, joins).
DevOps fundamentals: Understanding of CI/CD (Continuous Integration/Continuous Deployment), Kubernetes, GitLab CI, ArgoCD is a plus.
Learning mindset: You're genuinely curious about data infrastructure and excited to learn about data pipelines, orchestration, and cloud platforms.
Collaboration skills: You communicate clearly about technical topics and enjoy working with others. You're comfortable giving and receiving feedback in a team setting.
Academic background: You're currently pursuing studies in Data Engineering, Data Science / AI, Software Engineering with data-specific modules.
Languages: You speak English; French is a plus.
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.
Click here to read more about what it's like to be an intern at Qonto.
Find more information about our interview process on our careers website.
On average, our process lasts 20 working days and offers usually follow within 48 hours
To learn more about us:
Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres
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