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Data & AI Engineering
Reads like a Data Engineer role: pipelines and data infrastructure.
- Pay
Pay amount needs review — pay source
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! The salary range for this position is :€38,560.00 - €57,840.00Final 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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and implement end-to-end cloud data pipelines
Build and maintain ETL processes and machine learning workflows
Develop data models focused on query performance
Implement data quality checks and follow governance standards
Monitor pipelines, troubleshoot issues and track operational KPIs
From the employer’s posting
Help design and implement end-to-end data pipelines that transform raw data into valuable insights
Build and maintain ETL processes and machine learning workflows
Develop data models with a focus on query performance and efficient workloads.
Implement data quality checks and follow governance standards.
Use automated data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.
What you’ll bring
All qualificationsCore experience
- Experience in implementing data pipelines and data warehouse solutions in cloud environments.
- Good proficiency in SQL and data warehousing platforms
- Experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.
- Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.
- Familiarity with cloud platforms (AWS preferred) including orchestration frameworks
- Knowledge of CI/CD practices (GitHub Actions preferred), version control (Git), and infrastructure as code principles
Preferred experience
- Snowflake preferred
- Airflow preferred
- Terraform preferred
Qualification wording
Experience in implementing data pipelines and data warehouse solutions in cloud environments.
Good proficiency in SQL and data warehousing platforms (Snowflake preferred).
Experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.
Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing.
Familiarity 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).
About Sanofi
We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Sanofi is hiring
39 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- dbt
- Snowflake
- Terraform
- Airflow
Where the posting names them
Good 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. Familiarity with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred).
Technical Skills: Good 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.
Hands-on experience with ETL tools (IICS or equivalent), data transformation tools (dbt preferred) and Python for data processing. Familiarity 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).
Familiarity 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). Capacity to implement engineering patterns and technical standards.
Your next step
Complete your application on sanofi.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
Has Sanofi posted this job before?
Yes. We’ve followed one other Data & AI Engineering job there since May 2026. It came down after 19 days.
Job description
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
Work Arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)
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:
- Help design and implement end-to-end data pipelines that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments.
- Develop data models with a focus on query performance and efficient workloads.
- Work with cross-functional teams to translate business requirements into technical solutions.
- Implement data quality checks and follow governance standards.
- Use 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.
- Follow and apply 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:
Experience in implementing data pipelines and data warehouse solutions in cloud environments.
Experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings.
Working with cross-functional teams to translate business requirements into technical solutions.
Technical Skills:
Good 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.
Familiarity 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).
Capacity 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.
#LIFRA #LI-Hybrid
Pursue progress, discover extraordinaryBetter 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 :€38,560.00 - €57,840.00Final 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! The salary range for this position is :€38,560.00 - €57,840.00Final 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.
- Location & working pattern
Paris
Location: Paris, France Work Arrangements: Hybrid (Monday, Tuesday, Wednesday onsite) About the job
More source context
- 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%
More relevant text appears in the full description.
- Work authorization
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!