Paris Hybrid Lead, Data & AI Engineering

Sanofi

Paris

Hybride

EUR 120 000 - 150 000

Plein temps

14 jours+

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Résumé du poste

Sanofi in Paris is seeking a Lead Data & AI Engineering to lead a data and AI engineering team within the digital accelerator commercial unit. The role requires shaping the vision for data platforms, building scalable data pipelines, and partnering with business teams across affiliates worldwide to deliver value.

You will mentor engineers, ensure compliance with data quality, security and GxP standards, and collaborate with Cloud & Data architects, Product Owners and Scrum Masters to drive

Qualifications

  • Extensive experience building data pipelines and data models in agile environments.
  • Experience with healthcare data, compliance and GxP is a plus.
  • Strong leadership and mentoring capabilities.
  • Excellent communication and collaboration with cross-functional teams.

Responsabilités

  • Translate business requirements into scalable data engineering solutions.
  • Design and develop reliable data modules with optimized performance.
  • Mentor junior and senior data engineers and lead the team.
  • Ensure compliance with data quality, security, and governance standards.
  • Collaborate with Cloud & Data architects and product owners.

Connaissances

AWS cloud services
SQL & relational databases
Data modeling
Python
Data warehousing (Snowflake)
ETL / Data pipelines
GxP & regulatory compliance
Leadership / team management
Agile / Scrum
Security best practices
CI/CD (GitHub Actions)
Terraform / Ansible
PM tools (JIRA)

Formation

Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field

Outils

IICS
Tibco
GitHub
Terraform
Ansible
Airflow

Description du poste

Sanofi in Paris is seeking a Lead Data & AI Engineering to lead a data and AI engineering team within the digital accelerator commercial unit. The role requires shaping the vision for data platforms, building scalable data pipelines, and partnering with business teams across affiliates worldwide to deliver value.

You will mentor engineers, ensure compliance with data quality, security and GxP standards, and collaborate with Cloud & Data architects, Product Owners and Scrum Masters to drive

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