Data Engineer Expert AI / Agentic AI M/F - Freelance

About the company

As part of the development of its Data and AI capabilities, Sanofi wishes to strengthen its teams with a senior profile capable of contributing to the industrialization of data pipelines and the development of AI agents.

Your tasks

The solutions developed are intended to be used on a large scale, potentially by nearly 100,000 employees across the company. They must enable simplified access to complex systems and data and streamline daily processes, particularly in the following areas:

• Finance and payments;
• Industry and operations;
• Commercial;
• Logistics;
• IT Support;
• Incident management.

The mission is located at the intersection of Data Engineering, Data Platform, and Agentic AI.

The consultant will contribute to

• transforming and structuring the data used by AI solutions;
• designing and developing robust data pipelines;
• industrializing data flows and platforms through to production;
• developing AI agents and conversational interfaces connected to internal data and systems;
• making business processes simpler, faster, and smoother;
• guaranteeing the reliability, maintainability, and scalability of the developed solutions;
• supporting the transition from AI prototypes or experiments to production-ready solutions.

Main responsibilities The consultant will specifically work on the following activities:

• analyzing technical and business needs related to Data and AI projects;
• designing the architecture of pipelines and data flows;
• developing, maintaining, and optimizing data pipelines;
• working on Snowflake and dbt environments;
• preparing the data necessary to feed models, agents, and AI interfaces;
• participating in the design of agents capable of interacting with company data and systems;
• implementing best practices for industrialization, deployment, and supervision;
• contributing to data quality, security, governance, and traceability;
• collaborating with Data, AI, Architecture, IT, business, and security teams;
• documenting solutions and supporting their adoption by users.

Requirements

Essential skills

• Data Engineering;
• Snowflake;
• dbt;
• design and development of data pipelines;
• industrialization and production deployment of data platforms or products;
• understanding of Data and AI architectures;
• concrete experience in Generative AI or Agentic AI projects.

Appreciated complementary skills

• Python and SQL;
• AWS;
• Airflow or similar orchestration tools;
• APIs and system integration;
• cloud architectures;
• RAG, LLM, or conversational interfaces;
• observability, CI/CD, and DevOps practices;
• data security and governance.

data engineering, python, aws, agentic ai

• Minimum 5 years of experience in Data Engineering, Data Platform, or an equivalent field;
• significant experience with Snowflake and dbt;
• experience with projects led through to production;
• ability to work in complex, large-scale environments;
• experience in developing AI solutions or intelligent agents;
• good understanding of data quality, security, and governance issues;
• ability to communicate with both technical and business stakeholders;
• autonomy, pragmatism, and a structured mindset;
• English

Other

Daily rate (TJM): 600€ / day </body>