Recevez plus de réponses des employeurs
Envoyez un CV adapté au poste en quelques minutes.
Sanofi in Paris is seeking a Data & AI Engineer to design end-to-end data pipelines, optimize data models, and deploy ML workflows in cloud environments.
You will collaborate with cross-functional teams to translate business needs into scalable data solutions and participate in governance, quality, and CI/CD practices.
The role offers hybrid work with onsite Monday-Wednesday, a competitive salary, health benefits, and global digital R&D opportunities.
Job title: Data & AI Engineer
Location: Paris
Work arrangements: Hybrid (Monday, Tuesday, Wednesday onsite)
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.
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.
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.
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.
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.
Master's degree in Computer Science, Engineering, or a related field.
English is mandatory
A fixed salary over 12 months, supplemented by a short-term incentive,as well asa collective variable compensationbased on Sanofi Group results.
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.