Data Engineer – Plateforme Data Engineering (H/F)
Core
Designing and developing robust, scalable data pipelines and ingestion flows for industrial data platforms.
Role type
Data Engineer
Builds
Data pipelines, ingestion flows, and data products (Bronze/Silver/Gold layers)
Domain
Industrial engineering, PLM systems, and complex industrial environments
Deliverable
production ML models | product features
Required skills
SQL, relational databases, data modeling, batch processing, streaming processing, event-driven architecture
Preferred skills
Kafka, Apache Flink, Airflow, dbt, Debezium, data quality assurance, system performance optimization
Technologies
PostgreSQL, Kafka, Apache Flink, Airflow, dbt, Debezium, 3DX, Windchill, SAP
Responsibilities
Design and develop robust and scalable data pipelines; Implement data ingestion flows from various sources (databases, files, APIs, events); Structure and transform data using a medallion architecture; Ensure data quality, consistency, and freshness; Industrialize batch and streaming processing; Collaborate with business teams, architects, and data analysts.
Seniority
Mid-level (3+ years experience)
