Data Engineer

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 1,600+ Qontoers serving over 600,000+ 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.

Mission:

Join us to build the data solutions that serve more than 600,000 customers. As a Data Engineer, you make data safe, fresh, and self‑service for the almost 2,000 Qontoers who rely on it every day.

The team:

You will join the Data Platform team: Data Platform Engineers, Data Engineers and Data SREs. We own our stack end to end — Trino, Metabase, Airflow, OpenMetadata and more are deployed, run and maintained in-house by the team.

As a Data Solution Engineer at Qonto, you will:

• Deliver end-to-end data solutions: You will own data solutions from the need to production — ingestion into Snowflake, exposure through Trino and Metabase, and the automation around them — for business‑critical use cases.
• Make self‑service real: You will turn recurring manual requests into reusable, documented, low‑maintenance building blocks, so teams stop asking and start serving themselves.
• Be the trusted interface for data consumers: You will run our duty and Office Hours, qualify incoming requests, and decide what deserves a quick fix, a proper solution, or a platform change.
• Own data quality and freshness: You will define contracts, tests and SLAs on the data you ship, and investigate pipeline incidents through to root cause rather than symptom.
• Run our open‑source stack: You will manage the open‑source tools the Data Platform team owns, deploys and maintains — Trino, Metabase, Airflow, OpenMetadata and more — and keep them stable for production use cases.

What you can expect:

• A central role: You will sit at the intersection of the platform and the whole company, in a mature environment where your work directly changes how Qonto decides and operates.
• Modern tech stack: A state‑of‑the‑art cloud‑native stack — Python, SQL, Snowflake, Airflow, Trino, Metabase, OpenMetadata, Kubernetes, AWS.
• High autonomy: You will join a team of senior engineers where ownership is key; you will be trusted with important topics from day one.
• Hyper‑growth context: You will work on the challenges of scaling data for a leading European fintech, on a platform serving thousands of users daily.

About your future manager:

You will report to Charles https://www.linkedin.com/in/charles-andre/, who leads the Data Platform team. He has been building Qonto's data stack for years and knows it end‑to‑end, so the technical guidance you get is first‑hand. As a manager, he values autonomy and acts as a facilitator: he gives the team the space to own its topics and step up, and he is there when a decision needs a second pair of eyes.

About You:

• Experience: You have 3+ years of experience in Data or Software Engineering, having shipped and operated data pipelines and data services in production.
• Technical mastery: You are strong in Python, and you understand data‑specific infrastructure and solutions — how a warehouse, a query engine and an orchestrator actually behave, and which one is the right answer to a given need.
• Tooling expertise: You have run open‑source data tools yourself — orchestration, query engines, BI — with Airflow and Snowflake preferred, and you are not afraid to debug the infrastructure under them, where experience with Kubernetes and AWS makes the difference. You are comfortable with Git‑based workflows and CI/CD.
• End‑to‑end ownership: You take a project from a rough need to a shipped solution: you do the product management yourself — challenge the request, scope it with the stakeholder, define what gets built — and then you build it yourself.
• AI fluency: You use AI tools daily in your engineering work (coding agents, LLM‑based automation) and you have a clear view of where they help and where they do not.
• Appetite to learn: You are keen to learn a lot, fast, across a broad stack — you see an unfamiliar tool as a reason to dig in rather than a blocker.
• Communication: You have strong communication skills and can translate between business needs and technical constraints, in both directions.
• Languages: You speak fluent English.