Since last year’s fundraising, Qonto significantly raised its ambition in terms of Data. This resulted in the creation of a Data Department, handling Data Analysis, Engineering and Science. The data department grew from 5 to 25 people in a year and a half (and we’re still hiring)!
Data Engineering is the cornerstone of our data strategy. As a Data Engineer, you will join a team of 5 talented people and bring your expertise to allow Qonto to meet its ambitious goals. The stack is efficient but still young: you will really be able to shape it with the team.
The ability to use modern and “state of the art” data tools (ie Airflow, Flask, Snowflake, AWS, and related services) ;
Good environment, both technically and humanely, to learn and grow ;
The ability to give feedback and propose new tools ;
A wide scope of projects and the possibility to work on a project end-to-end ;
Direct collaboration with the stakeholders (examples of the project: TVA detection service, transaction matching to link the right bill to the right expense) ;
A very dynamic environment with good standards in place.
You got it: helping you succeed is our #1 priority. We have put together several perks to make your life easier and more will be added as Qonto grows further 🤗
• Office & Team Life
• Qonto’s benefits
💪Our hiring process:
We will send you an interview guide so you can better prepare yourself.
On average our process lasts 20 working days and offers usually follow within 48 hours 🤞