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.

Note we have multiple positions open.

Job title

Data & AI Engineer

Location

Paris, France – Hybrid: 3 days on site

About The Job

As a senior data & AI engineer within our Digital R&D team, you will help revolutionize how Sanofi discovers and delivers life‑saving medicines through AI and digital innovation. You will be part of a dynamic team driving Sanofi's digital transformation in R&D.

Main 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.
• Actively contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer review 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.

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.
• 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).
• 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.
• Experience using AI tooling across coding, code review, documentation, and operations.
• Strong commitment to quality and patient impact.

Education

Master's Degree or equivalent in Computer Science, Engineering, or relevant field.

Languages

English, French.

Benefits

• Highly collaborative environment with a world‑class team.
• Opportunities for growth and career advancement.
• Comprehensive rewards package recognizing contributions.
• Wide range of health and well‑being benefits, including high‑quality healthcare and prevention programs.
• Gender‑neutral parental leave of at least 14 weeks.
• Supportive, future‑focused team culture.

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.