Accelerator - Data & AI Engineering (Paris)

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 Arrangement: Hybrid (Three days from office and two days from home) About the job As a data engineering expert within our Digital Research and Development team, you will help revolutionize how Sanofi discovers and delivers life-saving medicines through AI and digital innovation. Ready to get started? Based in Paris, France, you will be part of a dynamic team driving Sanofi's digital transformation in R&D. We are building outstanding Digital R&D products that participate in new drug discovery together with scientists, in trial efficiency and cycle time reduction, leveraging Data Analytics and Artificial Intelligence. 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: Design and implement end-to-end data pipelines and platform components that transform raw data into valuable insights, ensuring scalability and reliability in cloud environments Develop and optimize data models with a focus on query performance and efficient workloads Collaborate with cross-functional teams to translate business requirements into technical solutions, defining clear interface contracts between data products and applications Ensure data quality, standardization, observability, and governance across systems, aligning with industry compliance standards and data privacy requirements Automate 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 downstream applications Drive MLOps/AIOps practices including model deployment pipelines, model performance monitoring, and reproducibility of ML experiments in production environments Lead and promote transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and actively participate in peer review of code and technical documentation standards Mentor team members and contribute to the team's technical growth through knowledge sharing and guidance About you Experience: Proven 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 Background working in cross-functional teams, translating business needs into technical solutions Experience working within compliance (e.g.: quality, regulatory, data privacy, GxP) and cybersecurity requirements Experience in the healthcare industry is a strong plus Technical Skills: 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) Advanced 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 Good knowledge of logging and monitoring tools such as Datadog, Grafana Familiarity with containerization (Docker) and container orchestration (Kubernetes/Openshift a plus) Possessing relevant cloud certifications (AWS, Snowflake, IICS) is a plus 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 AI-assisted engineering as a default: AI tooling is a default expectation, not an experiment. Use it across coding, code review, documentation, and operations. We track adoption. Here for the patients: quiet ego, loud standards. Don't fight to be right, fight to deliver for the patients who count on us. Be ruthless on quality, never rude about it. Education: Master's Degree or equivalent in Computer Science, Engineering, or relevant field Languages: English, French 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 stat