
Data Platform Engineer
Remote
Full Time
#Data
#Data Engineering
#Python
#SQL
#Kubernetes
#Airflow
#AWS
We are Qonto, the leading finance workspace in Europe. Our mission is to provide small and medium-sized businesses with the tools they need to succeed, including seamless invoicing, spend management, and pre-accounting. Since our founding in 2017, we have grown to support over 600,000 customers with a dedicated team of more than 1,600 people. We are looking for a Senior Data Platform Engineer to join us in a remote capacity to help scale our infrastructure and empower our AI and data teams.
Responsibilities
- Own the setup, management, and maintenance of our core infrastructure tools, including Kubernetes, Airflow, and AWS.
- Collaborate directly with our AI Product teams to implement tools that operationalize machine learning models.
- Lead cross-team initiatives that bridge the gap between platform engineering and product delivery.
- Maintain high standards for engineering excellence by conducting design reviews and ensuring high-quality Python code.
- Drive the continuous improvement of our engineering practices within a fast-paced, hyper-growth environment.
Must-haves
- At least 4 years of professional experience in software or data engineering with a focus on platform and infrastructure.
- Strong proficiency in Python and SQL.
- Hands-on experience managing Kubernetes in a cloud-native environment, preferably on AWS.
- Proven ability to manage orchestration tools like Airflow.
- Comfort with infrastructure-as-code principles and CI/CD workflows.
- Excellent communication skills with the ability to act as a technical bridge between different teams.
- Fluency in English.
Benefits
- Remote work flexibility.
- Comprehensive medical insurance.
- Paid time off.
- Flexible hours to support a healthy work-life balance.
- Access to an employee assistance program for mental health support.
- Various wellness programs and sports activity offers.
- Commuter benefits.

Qonto
7 views
Company Size
1001-5000
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