Design and implement scalable, high-performance data architectures
Integrate solutions such as Snowflake for storage and modeling
Develop real-time and batch data pipelines
Industrialize data processing using DevOps/MLOps practices (CI/CD, monitoring, error handling)
Create actionable data models
Orchestrate data workflows using tools like Palantir and dbt
Keep up to date with technological innovations in cloud architectures

Master's degree (engineering school or university)
At least 5 years of experience as a Data Engineer
Proficient with key tools and technologies: Python, SQL, Spark, Hadoop, Airflow, Kafka, Docker, Kubernetes, Terraform, Git, CI/CD
Databases such as PostgreSQL and MongoDB
Proven experience with cloud platforms (AWS, GCP, or Azure)
Advanced analytics environments such as Snowflake and Palantir Foundry
Familiarity with visualization tools such as Power BI
Highly autonomous and rigorous
Ability to operate in complex environments
Strong team player
Fluent English, both written and spoken

Remote work agreement (up to 70%) in France and internationally
Policies supporting gender equality, parental support, work–life balance, and sustainable mobility
Technical certifications and training freely available
Personalized support with your career manager
Nine-month onboarding program
Employee share ownership plan
PERCOL
Attractive employee benefits (works council) with preferential rates (travel, concerts, cinema tickets...)
Partial reimbursement for holidays
Reimbursement of your sports or cultural membership and personal development (driver's license courses, pastry classes, nutrition...)

Data Engineer

Key skills