Les missions du poste
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: Digital Data & AI Engineer
Location: Paris, France
Work Arrangement: Hybrid (Three days from office and two days from home)
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.
What we offer you:
A fixed salary over 12 months, supplemented by a short-term incentive,as well asa collective variable compensationbased 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.
- 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...
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.
Technical Skills:
- Mastery of data engineer techniques and tools to solve complex problems, including experience in job scheduling and orchestration tools.
- Designing and maintaining data pipelines, ensuring data integrity and code quality, and delivering production-ready solutions.
- 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.
- Collaborating with data scientists, data analysts, and engineers, exchanging insights across teams, and following best practices and standards for data engineering workflows.
- 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
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.
PursueProgress. 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.
Chez Sanofi, la diversité et l'inclusion sont au coeur de notre fonctionnement et sont intégrées à nos Valeurs fondamentales. Nous sommes conscients que pour exploiter véritablement la richesse que la diversité nous apporte, nous devons faire preuve d'inclusion et créer un environnement de travail où ces différences peuvent s'épanouir et être développées pour améliorer le quotidien de nos collègues, patients et clients. Nous respectons et valorisons la diversité de nos collaborateurs, leurs parcours et leurs expériences dans un objectif d'égalité des chances pour tous.
Dans le cadre de son engagement diversité, Sanofi accueille et intègre des collaborateurs en situation de handicap.
The salary range for this position is :€48,000.00 - €64,000
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, de la localisation et d'autres facteurs pertinents. Les employés peuvent être éligibles pour participer aux programmes d'avantages sociaux de l'entreprise.