Data & AI Engineer

About us

At Sanofi, we chase the miracles of science to improve people’s lives. All our decisions are taken with our most important stakeholder in mind – the patients.

Having a rich history of innovation that dates back over 100 years, Sanofi more than ever stays true to its commitment to transform the practice of medicine by providing potentially life-changing treatments and the protection of life-saving vaccines to millions of people. This history includes the first treatments for many rare diseases and the establishment of standards of care in diabetes and cardiovascular disease. Sanofi’s commitment to public health has helped protect hundreds of millions of people from influenza every year for decades and pushed polio to the brink of eradication, while its scientific vision has led to breakthrough innovations in the treatment of inflammatory diseases.

~ 43.07Bn€ Net Sales FY23

~90 countries

~ 91K employees

~ 59 manufacturing sites

~ 20 R&D sites

Overview

The Data & AI Engineer role focuses on developing scalable data and AI solutions while collaborating with cross-functional teams to deliver high-quality technical implementations that meet business requirements. This position is essential for building and maintaining the data infrastructure that powers our analytical capabilities and AI-driven commercial solutions.

Key Responsibilities

• Develop and improve scalable data/AI solution components, including LLM prompts, analytics functions, and data pipelines

• Design, build, and optimize data architectures to support business intelligence and machine learning applications

• Support change management processes, troubleshoot and resolve technical issues, and ensure end-to-end solution quality

• Create comprehensive documentation for solutions and deliver structured results that meet technical and business requirements

• Collaborate with cross-functional teams, particularly Data Scientists and Business Analysts, to understand requirements and translate them into effective technical solutions

• Implement and maintain data security and governance standards across all solutions

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related technical field; advanced degree is a plus

• 3+ years of experience in data engineering or related roles

• Strong proficiency in Python and SQL (Golang skills are a plus)

• Experience with Git workflow and version control best practices

• Knowledge of data modeling, ETL processes, and database design principles

• Familiarity with cloud platforms and their data services

• Experience with AI/LLM/chatbot project development preferred

• Experience with data orchestration tools and workflow management systems

• Excellent problem-solving skills and attention to detail

• Outstanding teamwork abilities and communication skills

• Ability to adapt to a fast-paced work environment and willingness to learn new technologies