Data and Machine Learning Engineering Lead

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 Digital Team as Data & ML Engineering lead and you can help make it happen. Your job? As a dynamic Data & ML Engineering Lead, you are an influential leader with hands‑on experience deploying scalable data and ML pipelines, applying state‑of‑the‑art data engineering and machine‑learning practices with technically robust lifecycle management. You excel at coaching and managing Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities

• Propose and establish technical designs to meet business and technical requirements.
• Develop and maintain data engineering and ML solutions based on requirements and design specifications using appropriate tools and technologies.
• Create and optimize data pipelines / ETL pipelines for performance.
• Coach and manage junior Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.
• Work with business and product teams to understand requirements and translate them into technical needs.
• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases.
• Develop automated tests for CI/CD pipelines.
• Gather and organize large and complex data assets, and perform relevant analysis.
• Conduct peer reviews for quality, consistency, and rigor for production‑level solutions.

About You

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or a relevant field.
• 6+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or a comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/dbt.
• Strong understanding of data structures and algorithms.
• Working knowledge of scripting languages (Python, Shell scripting).
• Experience with cloud‑based data platforms (Snowflake is a plus).
• Experience with job scheduling and orchestration tools (Airflow is a plus).
• Experience working with cross‑functional teams to solve complex data architecture and engineering problems.
• Proficient in SQL and relational database technologies/concepts.
• Experience working with data models and query tuning.

Nice to have

• Experience working in the life sciences/pharmaceutical industry is a plus.
• Familiarity with data ingestion through batch, near real‑time, and streaming environments.
• Familiarity with data warehouse concepts and architectures (data mesh is a plus).
• Familiarity with Source Code Management Tools (GitHub is a plus).

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.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

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