Data Platform Engineer
Data Platform Engineer
Original Advert
Our mission and customers
Our platform simplifies banking and finance management for SMEs today, so that they can build their tomorrow. We offer a finance management platform with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 53,000+ reviews.
Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75. This level of satisfaction is far above typical traditional banking scores, often ranging from 3 to 12, sometimes even lower.
Our journey
Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000 customers across 8 European countries: France, Germany, Italy, Spain, Portugal, Austria, Belgium, and the Netherlands. We have been profitable since 2023, and we are just getting started as we want to become the indisputable European leader in SME finance management.
Our beliefs
We hire for skills and potential. With 80+ nationalities, 45% women, and 56% of women in our leadership team, diversity is simply part of who we are.
We've built a discrimination-free hiring process because we believe the best teams are built on merit.
AI at Qonto
We see AI as a catalyst for our success.
We always choose thinking over routine. That's why AI is already deeply embedded in how we work - not as a trend, but as a way to raise the bar for the entrepreneurs who count on us. That is why we grant our Qontoers unlimited access to the best AI tools on the market - Claude Code, Cursor, Copilot, Dust, and Notion AI.
We want people who experiment without waiting for permission. Who push AI beyond the obvious. Who know when to trust it and, more importantly, when to question it.
Already pushing AI limits? You'll fit right in.
⭐ Mission Join us to build and maintain the scalable data platform that empowers our AI and Data teams to deliver value to over 600,000 customers. You will act as a technical bridge between our Data Platform and AI Product teams, ensuring our infrastructure allows us to ship advanced machine learning models and data projects efficiently.
👩💻🧑💻 As a Data Engineer at Qonto, you will
Run and evolve the Data Platform: You will own the set-up, management, and maintenance of our infrastructure tools (Airflow, Kubernetes, AWS), ensuring stability and scalability.
Bridge the gap with AI Products: You will collaborate closely with the AI team to implement tools that facilitate their work, helping operationalize machine learning models.
Drive cross-team initiatives: You will autonomously lead projects that span across the Platform and AI teams, ensuring alignment and smooth delivery.
Ensure Engineering Excellence: You will review design decisions, enforce high code quality standards (mainly in Python), and contribute to the continuous improvement of our engineering practices.
🤔 What you can expect
A central role: You will sit at the intersection of Data Platform and AI, working in a mature environment where your contributions directly impact the speed and quality of our AI innovations.
Modern Tech Stack: We work with a state-of-the-art cloud-native stack including Python, Airflow, Kubernetes, AWS, and Snowflake.
High Autonomy: You will join a team of senior engineers where ownership is key; you will be trusted to manage important platform topics from day one.
Hyper-growth context: You will evolve in a team that has grown significantly, working on challenges related to scaling data infrastructure for a leading European fintech.
🤝 About your future manager You will report to Charles, who is transitioning from a Staff Engineer role to lead the Data Platform team. Charles brings deep technical expertise and a strong history with Qonto's data stack. As a manager, he values autonomy and acts as a facilitator, ensuring his team has the space to grow while providing the technical guidance needed to succeed. He fosters a collaborative culture where team members are encouraged to step up and own their topics.
🏅 About You
Experience: You have 4+ years of experience in Software or Data Engineering, with a strong focus on platform and infrastructure topics.
Technical Mastery: You are proficient in Python (Java is a plus) and have solid experience with SQL and Kubernetes in a cloud-native environment (AWS preferred).
Tooling Expertise: You have hands-on experience managing orchestration tools like Airflow and are comfortable with CI/CD and infrastructure-as-code principles.
Communication: You have strong communication skills and can act as a technical bridge, translating constraints and requirements between Platform and Product teams effectively.
Languages: You speak fluent English.
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.
Our hiring process
- Interviews with your Talent Acquisition Manager and future managers (1 hour each)
- A remote or live exercise to demonstrate your skills and give you a taste of what working at Qonto could be like
Application managed by Qonto