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Sanofi Group, basé à Paris, recherche un Data & AI Engineer pour rejoindre l’équipe Digital Commercial Accelerator. Vous concevrez et déployerez des pipelines de données, modèles et workflows AI en environnement cloud, en collaboration avec des parties prenantes internationales.
Le poste offre un salaire fixe annuel + variable collectif, télétravail partiel et opportunités de mobilité internationale.
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
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.
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.
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.
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.
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
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.
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