8 days ago
Paris, FranceSenior
Responsibilities
- Design and implement scalable end-to-end data pipelines that transform raw data into usable insights.
- 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, privacy, and compliance across systems.
- Automate data ingestion, monitoring, operational KPI tracking, troubleshooting, and pipeline health management.
- Build and maintain ETL processes and machine learning workflows that provide clean, AI-ready data.
- Contribute to MLOps/AIOps practices, including model deployment, model performance monitoring, and reproducible production experiments.
- Advance data engineering patterns, CI/CD integrations, containerized deployments, coding standards, and technical documentation.
- Provide technical guidance to team members and coordinate project timelines and deliverables with cross-functional teams.
Requirements
- Master’s degree or equivalent in Computer Science, Engineering, or a relevant field.
- Strong experience designing and implementing production data pipelines and cloud data warehouse solutions.
- Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration.
- Experience translating business needs into technical solutions in cross-functional teams.
- Experience working with quality, regulatory, data privacy, GxP, compliance, and cybersecurity requirements.
- Strong proficiency in SQL and data warehousing platforms, preferably Snowflake.
- Experience with IICS or equivalent ETL tools, dbt or equivalent transformation tools, and Python for data processing.
- Strong experience with AWS or another cloud platform and orchestration frameworks such as Airflow.
- Knowledge of CI/CD, Git, infrastructure as code, logging, monitoring, containerization, and container orchestration.
- Experience with engineering patterns and technical standards; AWS, Snowflake, or IICS certifications are a plus.
- Healthcare industry experience is a strong plus.
- English and French language proficiency.
- Collaborative problem-solving skills, initiative, effective communication, and ability to work with technical and business stakeholders.
Benefits
- Fixed salary paid over 12 months, short-term incentive, and collective variable compensation based on Sanofi Group results.
- Quality health insurance, extended maternity and parental leave, illness support, teleconsultation, and second medical opinion coverage.
- 31 days of paid leave plus RTT depending on status.
- Hybrid work arrangement with Monday, Tuesday, and Wednesday onsite and remote work up to two days per week.
- Public transportation coverage of up to 80%.
- Group Savings Plan, PERCOL with employer matching, and PERO retirement benefits.
- Internal and international mobility and learning and development opportunities.
- Peer-to-peer recognition, service exchange platforms, and CSE benefits.
- Location: Paris, France.
Tech Stack
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.