Data Platform Engineer

Qonto; Barcelona; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Qonto is seeking a Data Solution Engineer to join the Data Platform team in a high-autonomy, cloud-native environment. You will own data solutions end-to-end—from ingestion to Snowflake exposure—while driving self-service and data quality for thousands of users.

You will work with Python, SQL, Snowflake, Airflow, Trino, Metabase, OpenMetadata, Kubernetes and AWS, operating in a senior engineer context with clear ownership from day one.

Formación

• 3+ years of experience in Data or Software Engineering, shipping and operating data pipelines in production.
• Strong in Python with understanding of data infrastructure and solutions (warehouse, query engine, orchestrator).
• Experience running open-source data tools (Airflow, Snowflake preferred) and debugging infrastructure with Kubernetes and AWS.

Responsabilidades

• Deliver end-to-end data solutions from need to production (ingestion to Snowflake, exposure via Trino and Metabase).
• Make self-service real by turning recurring requests into reusable, documented blocks.
• Be the trusted interface for data consumers via duty/office hours and triage requests for fixes or platform changes.
• Own data quality and freshness by defining contracts, tests and SLAs and investigating root causes of incidents.
• Run and maintain open-source tools (Trino, Metabase, Airflow, OpenMetadata) for production use.

Conocimientos

Python programming

English communication

End-to-end ownership

AI fluency

Learning agility

Herramientas

Snowflake

Airflow

Trino

Metabase

OpenMetadata

Kubernetes

AWS

Git / CI/CD

Descripción del empleo

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, based on 55,000+ reviews. 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).

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. 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 because the best teams are built on merit.

AI at Qonto

AI is deeply embedded in how we work (here) - 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 platform that serves 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 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.

On average, our hiring process lasts 20 working days. More information on our candidate journey here.

Your security matters to us.