Accelerator - Data and AI Engineer (Paris)
Sanofi · Paris, Île-de-France, France
- On site
- Full-time
- $150,000 / year
- Paris, Île-de-France, France
Job highlights
- Build and maintain data pipelines and platforms.
- Collaborate with cross-functional teams on data initiatives.
- Develop and optimize data models in Snowflake.
- Implement GenAI and agentic solutions.
- Ensure data quality, observability, and compliance.
About the role
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.
About The Job
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 Commercial Accelerator as a Senior Data & AI Engineer and you can help make it happen. Your initial assignment will be across marketing solutions and can evolve across other accelerator solutions. You will play a key role across the Omnichannel data pipelines and Data Platform, supporting the build and maintenance of a 360° view for personalization and marketing campaigns activities.
The Marketing Suite Aims To
- Offer reliable and personalized marketing campaigns to marketers
- Enable seamless deployment of GenAI and agentic systems through robust, scalable data pipelines and system integrations architectures.
- Increase Sanofi professional capacity to match expectation of our customers
Your Key Responsibilities
- Build reliable and maintainable data pipelines that deliver high-quality, business-ready data
- Collaborate with Data Architects, Data Analysts, and Data Scientists to translate business requirements into technical deliverables
- Develop and optimize data models in Snowflake, ensuring performance and scalability
- Design and automate ingestion, transformation, and orchestration workflow
- Implement CI/CD, infrastructure-as-code, and data-ops best practice
- Contribute to the deployment of GenAI, and Agentic solutions in collaboration with GenAI platform team
- Ensure data quality, observability, and compliance through validation, monitoring, and documentation
- Stay current with Sanofi’s engineering standards, industry best practices, and emerging technologies
About You
You are a motivated Data and AI Engineer who thrives on building data solutions from the ground up. You enjoy learning through practice, collaborating across teams, and solving real business problems with clean, scalable, and automated data platforms. You take ownership of your work and are comfortable navigating complex data environments with minimal supervision.
- Around 5 years of experiences in a data team as Data Engineer
- Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field
- Experience in enterprise data environments; healthcare industry is a strong plus
Key Technical Requirements & Qualifications
- Excellent written and verbal English communication skills
- Experience with AWS cloud services
- Proficiency in Python scripting for data transformation and automation.
- Experience with Snowflake or similar cloud data-warehouse technologies
- Solid understanding of SQL and relational database concepts
- Hands-on experience with Airflow, DBT, Terraform, and GitHub Actions
- Exposure to GenAI, RAGs, LLMs, or Agentic AI concepts
- Familiarity with compliance frameworks (data privacy, cybersecurity, GxP, SOX) is a plus
Soft And Behavioural Skills
- Excellent written and verbal English communication skills
- Strong sense of ownership and accountability for deliverables
- Service-oriented, flexible, positive team player
- Analytical, organized, and eager to learn
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
Pursue Progress. Discover Extraordinary.
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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Key skills/competency
- Senior Data & AI Engineer
- Data Pipelines
- Data Platform
- Snowflake
- Python
- AWS
- SQL
- Airflow
- DBT
- GenAI
Skills & topics
- Data Engineer
- AI Engineer
- Data Pipelines
- Data Platform
- Snowflake
- Python
- AWS
- SQL
- Airflow
- DBT
- GenAI
- Commercial Accelerator
- Biopharma
- Paris
How to get hired
- Tailor your resume: Highlight your experience with data pipelines, Snowflake, Python, and AWS, emphasizing your 5+ years of experience.
- Showcase your skills: Directly address the technical requirements in your application, particularly Python scripting, SQL, Airflow, DBT, and Terraform.
- Emphasize ownership: Detail instances where you've taken full responsibility for data solutions and navigated complex environments.
- Prepare for interviews: Be ready to discuss your experience with data modeling, CI/CD, and any exposure to GenAI concepts.
- Research Sanofi: Understand their mission and how data and AI contribute to their biopharma goals.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Senior Data & AI Engineer role at Sanofi Paris?
- The Senior Data & AI Engineer role at Sanofi Paris requires strong skills in Python scripting for data transformation, experience with cloud data warehouses like Snowflake, solid SQL knowledge, and hands-on experience with tools such as Airflow, DBT, and Terraform. Proficiency in AWS cloud services and exposure to GenAI concepts are also important.
- Is prior experience in the healthcare industry mandatory for this Senior Data & AI Engineer position at Sanofi?
- While experience in enterprise data environments is required for the Senior Data & AI Engineer position at Sanofi, experience in the healthcare industry is a strong plus but not strictly mandatory. Your overall data engineering expertise will be highly valued.
- What is the work arrangement for the Senior Data & AI Engineer role in Paris?
- The Senior Data & AI Engineer role in Paris operates on a hybrid work arrangement, allowing for a blend of on-site and remote work.
- What opportunities for career growth are available at Sanofi for a Senior Data & AI Engineer?
- Sanofi offers numerous growth opportunities, including promotions and lateral moves, both domestically and internationally. The company encourages continuous learning and development for its employees.
- How does Sanofi support work-life balance for its employees, including Senior Data & AI Engineers?
- Sanofi prioritizes employee well-being with a comprehensive rewards package and benefits, including high-quality healthcare, wellness programs, and a minimum of 14 weeks of gender-neutral parental leave.
- What is the role of GenAI and agentic systems in this Senior Data & AI Engineer position?
- This Senior Data & AI Engineer role contributes to the deployment of GenAI and agentic solutions. You will work on building robust data pipelines and system integrations to enable seamless deployment of these advanced AI technologies.
- What is expected in terms of data quality and compliance for this role?
- As a Senior Data & AI Engineer at Sanofi, you will be responsible for ensuring data quality, observability, and compliance through validation, monitoring, and documentation. Familiarity with compliance frameworks like GxP and SOX is a plus.