Key skills
AirflowApacheAWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPythonScalaSparkAIData LakeSnowflakeDatabricksApache SparkdbtGCPGoogle CloudRemote Work
About this role
Role Overview
- Data pipeline creation: build state-of-the-art solutions for data collection, organization, and modeling
- Infrastructure deployment and DevOps: deploy using infrastructure-as-code tools
- Full-stack development and AI model serving
- Develop application logic in line with business and technical requirements
- Data architecture: design and engineer the complete data architecture stack
Requirements
- Engineering degree or Master's (Bac+5) in Computer Science or Data Science
- Knowledge of data processing (Apache Spark, dbt, Flink)
- Orchestration (Airflow, Prefect, Dagster)
- Data storage (databases, Data Lake, Data Warehouse)
- Data transport (batch and streaming)
- Programming experience (Python, Scala, Java, JavaScript)
- Proficiency with one or more cloud providers (AWS, GCP, Azure)
- Knowledge of data platforms (Databricks, Snowflake, Palantir)
- Bilingual English/French
- Willingness to be mobile, curious, and adaptable
- Enthusiastic about working in a stimulating environment, with strong team spirit and analytical skills
Tech Stack
- Airflow
- Apache
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Java
- JavaScript
- Python
- Scala
- Spark
Benefits
- Remote work available in France and internationally
- Commitment to professional equality
- Parental support
- Work–life balance
- Support for sustainable mobility
- Access to certifications and training
- Tailored support from your career manager
- Multi-month onboarding program
- Employee share ownership plan
- Preferential rates and discounts
- Partial vacation reimbursement
- Partial reimbursement of sports or cultural memberships