Data engineer
Core
Building and evolving a large-scale data processing and valorization platform, defining data architecture, and industrializing treatments for heterogeneous data volumes.
Role type
Senior Data Engineer
Builds
Robust, performant, and industrialized data processing pipelines
Domain
Geospatial, statistical, and Earth observation data
Deliverable
production ML models
Required skills
Data modeling, data architecture design, data governance, pipeline development, DevOps/DataOps practices, CI/CD, performance optimization, technical auditing
Preferred skills
AI infrastructure preparation, modernization of existing architectures
Technologies
CI/CD, data cataloging, observability tools
Responsibilities
Design and evolve data models for diverse sources; define architecture, quality, and governance standards; develop and maintain robust data pipelines; optimize storage strategies and processing performance; implement DevOps and DataOps best practices; conduct technical audits and propose improvements; collaborate with Data, AI, DevOps, and business teams; prepare infrastructure for AI usage.
