Data Platform Engineer

➡️ 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, 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.

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.