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. 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).
Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. 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 want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.
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.
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.




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.
A state-of-the-art cloud-native stack — Python, SQL, Snowflake, Airflow, Trino, Metabase, OpenMetadata, Kubernetes, AWS.
You will join a team of senior engineers where ownership is key; You will work on the challenges of scaling data for a leading European fintech, on a platform serving thousands of users daily.
You will report to Charles, 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. Experience: You have 3+ years of experience in Data or Software Engineering, having shipped and operated data pipelines and data services in production.
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.
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 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.
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.
Languages: You speak fluent English.
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📌 Data Platform Engineer - Fully Remote (Madrid)
🏢 Qonto
📍 Madrid