Ingénieur·e Data (H/F)
Core
Designing and maintaining robust, scalable data platforms and pipelines for high-impact business projects.
Role type
Senior Data Engineer (Data Platform & Pipelines)
Builds
Reliable data pipelines, ETL/ELT processes, and data architectures for analytics.
Domain
Data Engineering, Cloud Infrastructure, Big Data
Deliverable
production ML models | infrastructure
Required skills
SQL, Apache Airflow, ETL/ELT development, Cloud platforms (GCP, AWS), Analytical databases (BigQuery, Snowflake), Python, Scala, Distributed data architectures
Preferred skills
Multi-cloud environment experience, Data governance, Data quality, DevOps/DataOps culture
Technologies
Apache (Big Data ecosystem), Hadoop, Airflow, Snowflake, GCP, AWS, BigQuery, Power BI
Responsibilities
Design, develop, and maintain reliable and performant data pipelines; Implement and orchestrate data processing via Apache Airflow; Develop and optimize ETL/ELT processes; Work with analytical databases like BigQuery and Snowflake; Ensure data quality, performance, and security; Collaborate with BI teams for data exploitation; Participate in architecture choices and data best practices.
Seniority
Senior, hands-on IC
