13 days ago
Paris, FranceSenior
Responsibilities
- Design and implement scalable, reliable end-to-end data pipelines in cloud environments.
- Develop and optimize data models and data warehouse workloads for query performance and efficiency.
- Translate business requirements into technical solutions and define interface contracts between data products and applications.
- Ensure data quality, standardization, observability, governance, compliance, and privacy across systems.
- Automate data ingestion, monitoring, KPI tracking, troubleshooting, and pipeline health management.
- Build and maintain ETL processes and machine learning workflows that provide clean, AI-ready data.
- Promote data engineering design patterns, CI/CD integrations, containerized deployments, technical documentation, and peer code reviews.
- Mentor team members and contribute to technical growth through knowledge sharing and guidance.
Requirements
- Master’s degree in Computer Science, Engineering, or a related field.
- Typically eight or more years of relevant experience designing data pipelines and data warehouse solutions, or equivalent skills and capabilities.
- Production experience with data modeling, ETL/ELT processes, and pipeline orchestration.
- Strong SQL and data warehousing experience, preferably with Snowflake.
- Hands-on experience with IICS or an equivalent ETL tool, dbt or an equivalent data transformation tool, and Python for data processing.
- Strong experience with cloud platforms, preferably AWS, and orchestration frameworks, preferably Airflow.
- Advanced knowledge of CI/CD, preferably GitHub Actions, Git version control, and infrastructure as code, preferably Terraform.
- Experience designing engineering patterns and technical standards.
- Collaborative problem-solving abilities, initiative, effective communication, and the ability to work with technical and business stakeholders.
- Fluent English is mandatory.
Benefits
- Fixed salary paid over 12 months, supplemented by short-term incentive and collective variable compensation based on Sanofi Group results.
- Quality health insurance, extended maternity and parental leave, illness support, teleconsultation, second medical opinion coverage, and wellness programs.
- 31 days of paid leave plus RTT depending on status, with remote work up to two days per week.
- Public transportation coverage up to 80%.
- Group Savings Plan, PERCOL with employer matching, and PERO retirement benefits.
- Internal and international mobility, learning and development opportunities, training programs, and industry certifications.
- Peer-to-peer recognition, employee service-exchange platforms, CSE benefits, diversity and inclusion programs, and employee resource groups.
- Hybrid role based in Paris, France.
Categories
Data Engineering
About Sanofi
Sanofi is a global biopharmaceutical manufacturer that discovers, develops, and commercializes prescription medicines, vaccines, and consumer healthcare products for patients and healthcare systems worldwide. Its portfolio and pipeline span immunology, oncology, rare diseases and blood disorders, neurology, diabetes, cardiovascular conditions, and vaccines. The company is publicly traded and headquartered in Paris, France, with large-scale R&D and manufacturing operations across Europe, the Americas, and Asia.