Data & AI Engineer

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. 

This job offer is accessible to all, regardless of gender. 

Job title:  Data & AI Engineer

●       Location: Paris, France

●       Hybrid

About the job

As a Data & AI engineer within our Digital Commercial Accelerator team, you will support efforts to revolutionize how Sanofi delivers life-saving medicines through data, AI and digital innovation. This role offers an excellent opportunity to develop and improve your expertise while contributing to impactful projects. Ready to grow your skills in a dynamic environment? 

Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in commercial. Our Digital Commercial Accelerator is implementing cutting-edge technologies, making our business smarter and more efficient. Join the first biopharma company powered by AI at scale, where your expertise will directly impact how we deliver treatments to patients worldwide. 

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.

Main responsibilities:

• Design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
• Develop and optimize data models with a focus on query performance and efficient workloads.
• Collaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications.
• Ensure data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements.
• Automate data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.
• Build and maintain ETL processes and machine learning workflows, providing clean AI ready data for our applications.
• Lead and promote transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, also actively participate in peer review of code and technical documentation standards.
• Mentor team members and contribute to the team's technical growth through knowledge sharing and guidance.

About you

Experience:

• Proven track record in designing and implementing data pipelines and data warehouse solutions in cloud environments
• Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings
• Background working in cross-functional teams, translating business needs into technical solutions
• This role typically requires the depth of expertise gained through eight or more years of relevant experience. Candidates who can demonstrate equivalent skills and capabilities are also encouraged to apply

Technical Skills:

●       Strong proficiency in SQL and data warehousing platforms (Snowflake preferred)

●       Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.

●       Strong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).

●       Advanced knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles (Terraform preferred).

●       Experience in designing and implementing engineering patterns and technical standards.

Soft Skills:

●       Collaborative mindset with strong problem-solving abilities.

●       Self-motivated and able to take initiative in a fast-paced environment.

●       Effective communication skills to work with both technical and business stakeholders.

Education: Master's degree in Computer Science, Engineering, or a related field.

Languages: English is mandatory

What we offer you: 

A fixed salary over 12 months, supplemented by a short-term incentive, as well as a collective variable compensation based on Sanofi Group results. 

Because taking care of our employees is also our mission:  

• Benefits & Well-being: Quality health insurance, extended maternity/parental leave (18/14 weeks), enhanced support in case of illness, teleconsultation and second medical opinion covered by Sanofi, as well as many other wellness programs to discover here. 

• Work-Life Balance: 31 days of paid leave + RTT depending on your status, remote work up to 2 days/week 

• Transportation: Public transport coverage up to 80% 

• Savings & Retirement: Group Savings Plan and PERCOL with employer matching, and PERO 

• Professional Development: Internal and international mobility opportunities, learning & development opportunities 

• And more: platforms dedicated to peer-to-peer recognition & service exchanges between Sanofi employees (carpooling, home exchanges, etc.), numerous CSE benefits...

Why choose us?

• Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.

·       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.

·       Join a workplace where diversity, equity, and inclusion are at the core, with Employee Resource Groups and leadership programs that celebrate every voice.

·       Drive meaningful change in a streamlined, AI-powered organization that values smart, modern ways of working.

• Collaborate with curious minds across borders, functions, and cultures in a fast-paced, purpose-driven environment.
• Stay at the forefront of tech, with access to training programs and industry certifications, as well as excellent opportunities for progression.
• Work in a safe, responsible environment guided by RAISE — our strategy for balancing digital innovation with the right level of risk management for every AI system.

 #LIFRA #LI-Hybrid

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.