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Salary
$54k – $81k per year
Location
Remote (France)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 30, 2026. Sanofi scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Sanofi is a French pharmaceutical company formed in 1973 and assembled over five decades through a long series of mergers including Synthelabo, Aventis and Genzyme. It is now built around immunology and rare disease, with Dupixent for atopic dermatitis and asthma as by far its largest product, alongside a substantial vaccines division covering influenza, meningitis and the respiratory syncytial virus antibody Beyfortus. Headquartered in Paris, the group has sharpened its focus in recent years by separating its consumer healthcare business into the standalone company Opella and directing research spending toward biologics and immune science.

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 data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
  • Develop and fine tune data models with a focus on query performance and efficient workloads.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Implement data quality checks and follow governance standards.
  • Support and maintain automated 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.
  • Apply and share data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review of code and technical documentation.

About you

Experience:

Solid experience in implementing data pipelines and data warehouse solutions in cloud environments.

Strong experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.

Experience working with cross-functional teams to translate business requirements into technical solutions.

Strong experience working with LLMs

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.

Experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).

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

Ability to implement 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: Bachelor's degree (Engineering or Master's preferred) in Computer Science 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.

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.

#LIFRA #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 :€48,000.00 - €72,000.00

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.

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