Accelerator Data & AI Engineer GenAI (Paris)

Reposted 10 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
Mid level
Healthtech
The Role
Design and implement data pipelines, optimize data models, automate data ingestion, and enforce data quality in cloud environments, leveraging AI technologies and collaboration across teams.
Summary Generated by Built In

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: Accelerator Data & AI Engineer GenAI

  • Location: Paris, France
  • Hybrid: 60% office, 40% remote
  • Permanent, Fulltime
About the job

We are a global biopharmaceutical company focused on human health. Our purpose is to find treatment to fight pain and ease suffering. We combine breakthrough science and advanced technology to develop life-changing medicines and vaccines. 

Digital & Data is at the heart of Sanofi: our ambition is to be the leading digital healthcare platform to develop & deliver medicine faster, enable healthcare professionals to improve treatments and help patients improve their health. Our scale, strong connections within health ecosystems across the world, and ability to leverage Sanofi’s capabilities make us the best place to push the boundaries of medicine through technology. 

We are building Digital R&D products developing outstanding capabilities that will participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence. 

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
  • Enforce 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
  • Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, also participate in peer review of code and technical documentation
About you

Experience:

  • Strong 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
  • Experience working in cross-functional teams, translating business needs into technical solutions

 

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)
  • Strong experience with Generative AI technologies and best practices (e.g. Vector Databases)
  • Good 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

 

Why choose us? 
  • We provide a highly collaborative environment, with an opportunity to work with a world class team
  • 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
  • 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
  • Play an instrumental part in creating best practice within our manufacturing facility 
Pursue Progress. Discover Extraordinary

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

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

#LI-FRA

#LI-Hybrid

Pursue progress, discover extraordinary

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!

The salary range for this position is :€54,400.00 - €72,533

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.

Skills Required

  • Strong track record in designing and implementing data pipelines
  • Hands-on experience with ETL/ELT processes, and pipeline orchestration
  • Experience in cross-functional teams translating business needs
  • Master's degree in Computer Science, Engineering, or related field

Sanofi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sanofi and has not been reviewed or approved by Sanofi.

  • Retirement Support Retirement support stands out through a notably strong 401K matching structure (e.g., 150% match up to a 6% contribution), which materially boosts total rewards for long-tenured employees.
  • Parental & Family Support Parental and family support is positioned as unusually robust, including a global gender-neutral paid parental leave standard (14 weeks) and added supports such as childcare assistance and adoption/surrogacy/infertility help.
  • Equity Value & Accessibility Equity participation is made more accessible via an Employee Stock Purchase Plan that includes a meaningful purchase discount and matching/free-share mechanics, increasing perceived total compensation beyond base pay.

Sanofi Insights

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The Company
HQ: Paris
85,000 Employees
Year Founded: 1973

What We Do

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

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