Data Engineer – Plateforme Data Engineering (H/F)
Core
Designing and developing robust, scalable data pipelines and ingestion flows to industrialize and govern data streams in complex industrial environments.
Role type
Data Engineer
Builds
Data platforms, data pipelines, and data products for industrial clients
Domain
Industrial engineering, PLM systems, and large-scale data infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, PostgreSQL, Kafka, Apache Flink, Airflow, dbt, data modeling, batch/streaming processing
Preferred skills
Data quality assurance, system architecture design, performance optimization, event-driven architectures
Technologies
PostgreSQL, Apache Flink, Kafka, 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 (Bronze, Silver, Gold); Ensure data quality, consistency, and freshness; Industrialize batch and streaming processing; Collaborate with business teams, architects, and data analysts; Participate in architecture choices and best practices regarding performance, security, and governance
