Gather business requirements from the various requesting and consuming units for data collection and storage solutions.
Integrate, transform and maintain data.
Implement, industrialize and maintain processes related to data integration: orchestration, monitoring, APIs, unit and integration testing.
Install and maintain machines, tools and databases.
Work with spatial data, both vector and raster.
Industrialize and automate data cleaning according to agreed specifications, using statistical or machine learning models.
Manage, maintain and document multiple databases (for example via import of external open data or internal data).
Manage the data lifecycle in accordance with GDPR requirements.
Ensure production monitoring and maintenance.

Languages: Python, R, Shell
Tools and databases: GDAL, ETL tools, Postgres/PostGIS databases, NoSQL
Systems: Linux (Debian/Ubuntu), Docker, Kubernetes
Familiarity with GitLab and Jira is a plus.
You have strong interpersonal skills and want to take part in the ongoing transformation of a team.

Profit-sharing, performance bonus, holiday bonus (Syntec collective agreement) and meal vouchers
12 additional RTT days per year
Remote work policy – 1 day per week
€20 net/month for cyclists and carpoolers (Sustainable Mobility Allowance)
Works council (CSE), health insurance and provident benefits for all
Committed and sustainable CSR approach: 9 volunteer-based participatory groups
Social activities: football, pétanque, gaming nights… among colleagues

Data Engineer

Key skills