Sr. Data Engineer – Supply Chain Analytics

About the role

From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions.

What you'll do

• Data Pipeline Development — Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver supply chain data from multiple sources (ERP, IBP
• Data Modelling & Architecture — Develop and optimize data models in Snowflake to support supply chain KPIs
• Analytics Enablement — Power BI dashboards understanding and self-service reporting solutions for supply chain stakeholders across global markets
• Data Quality & Governance — Implement data quality checks, monitoring, and lineage tracking to ensure accuracy and reliability of supply chain data assets
• Collaboration & Stakeholder Engagement — Partner with supply chain planners, SAP experts

What you need

• 7–10 years in data science & ai
• SQL
• Python
• Supply chain
• Analytics
• ETL
• Data modelling
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Demand planning
• Airflow
• Snowflake
• dbt
• ERP
• Power BI