Design, develop, and maintain robust, automated, and scalable data pipelines.
Ensure data quality, security, and reliability throughout the entire data lifecycle.
Define and maintain infrastructure as code for data-related services.
Build and maintain dashboards, monitoring tools, and reports for internal teams.
Work closely with Data Science, DevOps, and Product teams to ensure data consistency and value.
Monitor and optimize performance using observability tools (Datadog, Grafana, Prometheus).

Master’s degree (or equivalent) in computer science, data engineering, or AI.
5+ years of experience in Data Engineering, ideally in cloud and AI-driven environments.
Excellent command of Python and software engineering best practices (testing, versioning, packaging).
Strong knowledge of SQL and NoSQL databases (PostgreSQL, DynamoDB).
Solid experience with workflow automation (Airflow, GitHub Actions, GitLab CI/CD).
Strong understanding of MLOps concepts, data integration into ML workflows, monitoring, and deployment.
Cloud experience on AWS or GCP (S3, Lambda, RDS, Step Functions).
Knowledge of Docker and containerized environments.

Hybrid work
“Contrat cadre” and RTT (between 8-12 per year depending on the number of public holidays in the current year)
A Mac or PC depending on your preferences
60% coverage of meal vouchers worth €9 per worked day
Sustainable mobility allowance
Mutuelle (Alan)
Offices located in central Paris (9th arrondissement)
Annual offsite with the whole team and plenty of company events

Senior Data Engineer

Key skills