Accelerator - Data and AI Engineer (Paris)

Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.

Job title : Senior Data & AI Engineer

• Location: Paris
• Hybrid

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

About the job

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.

Join our Commercial Accelerator as a Senior Data & AI Engineer and you can help make it happen.

Your initial assignment will be across marketing solutions and can evolve across other accelerator solutions.

You will play a key role across the Omnichannel data pipelines and Data Platform, supporting the build and maintenance of a 360° view for personalization and marketing campaigns activities.

The Marketing Suite aims to:

• Offer reliable and personalized marketing campaigns to marketers
• Enable seamless deployment of GenAI and agentic systems through robust, scalable data pipelines and system integrations architectures.
• Increase Sanofi professional capacity to match expectation of our customers

Your Key Responsibilities

• Build reliable and maintainable data pipelines that deliver high-quality, business-ready data
• Collaborate with Data Architects, Data Analysts, and Data Scientists to translate business requirements into technical deliverables
• Develop and optimize data models in Snowflake, ensuring performance and scalability
• Design and automate ingestion, transformation, and orchestration workflow
• Implement CI/CD, infrastructure-as-code, and data-ops best practice
• Contribute to the deployment of GenAI, and Agentic solutions in collaboration with GenAI platform team
• Ensure data quality, observability, and compliance through validation, monitoring, and documentation
• Stay current with Sanofi’s engineering standards, industry best practices, and emerging technologies

About you

• Around 5 years of experience in a data team as Data Engineer
• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
• Experience in enterprise data environments; healthcare industry is a strong plus

Key Technical Requirements & Qualifications

• Excellent written and verbal English communication skills
• Experience with AWS cloud services
• Proficiency in Python scripting for data transformation and automation
• Experience with Snowflake or similar cloud data‑warehouse technologies
• Solid understanding of SQL and relational database concepts
• Hands‑on experience with Airflow, DBT, Terraform, and GitHub Actions
• Exposure to GenAI, RAGs, LLMs, or Agentic AI concepts
• Familiarity with compliance frameworks (data privacy, cybersecurity, GxP, SOX) is a plus

Soft and behavioural skills

• Excellent written and verbal English communication skills
• Strong sense of ownership and accountability for deliverables
• Service-oriented, flexible, positive team player
• Analytical, organized, and eager to learn

Why choose us?

• Bring the miracles of science to life alongside a supportive, future‑focused team
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
• Enjoy a thoughtful, well‑crafted rewards package that recognizes your contribution and amplifies your impact
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender‑neutral parental leave

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.