Accelerator - Data & AI Engineering - Paris

Overview

Job title: Data & AI Engineer. Location: Paris, France. Hybrid 3 days on site. This job offer is accessible to all, regardless of gender. Note we have multiple positions open. Based in Paris, you will be part of Sanofi's Digital R&D team, driving digital transformation in R&D through AI and data analytics. We are building Digital R&D products to support drug discovery, trial efficiency, and cycle time reduction, leveraging data analytics and artificial intelligence.

About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our work combines deep understanding of the immune system with an innovative pipeline to invent medicines and vaccines for millions of people worldwide.

Responsibilities

• Design and implement end-to-end data pipelines 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.
• Contribute to MLOps/AIOps practices including model deployment pipelines, model performance monitoring, and reproducibility of ML experiments in production environments.
• Contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer reviews of code and technical documentation standards.
• Provide technical guidance to team members, ensuring adherence to coding standards and best practices.
• Coordinate project timelines and deliverables with cross-functional teams to ensure alignment with business goals.

Qualifications

Experience

• 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.
• Experience working within compliance (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).
• 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.
• 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, with the ability to articulate insights and influence decision-making.
• 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 & Languages

• Education: Master's Degree or equivalent in Computer Science, Engineering, or relevant field.
• Languages: English, French.

Why join us?

• We provide a highly collaborative environment with opportunities to work with a world-class team.
• Contribute to a company that leads in healthcare and digital transformation.
• Grow your talent and career, including opportunities for promotion or lateral moves, domestically or internationally.
• Competitive rewards package and comprehensive health and wellbeing benefits, including at least 14 weeks’ gender-neutral parental leave.
• Equal opportunities statement: 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.

Salary: The salary range is €54,400.00 - €72,533. Final compensation will be determined based on demonstrated experience, skills, location, and other factors.