Data Engineer - VIE Contract

Sanofi, a leading global biopharmaceutical company, is seeking a Data Engineer to join their team in Toronto through the VIE Contract program. This role is part of Sanofi's initiative to become an AI-first organization and drive digital transformation across the enterprise.

The position offers a unique opportunity for young European professionals to gain international experience while working on meaningful projects. As a Data Engineer, you'll be responsible for designing and developing globally scalable solutions that support Sanofi's advanced analytics, AI, and ML initiatives. You'll work within the AI Factory framework, where versatile teams operate in cross-functional pods to develop AI products.

The role combines technical expertise with business impact, as you'll be creating and optimizing data pipelines, developing automated tests, and working closely with business teams to understand and implement requirements. You'll have access to a leading-edge tech stack and world-class mentorship from renowned leaders in machine learning.

This position is ideal for candidates with a Master's degree in Computer Science or related field, and at least one year of experience in data engineering. You should be proficient in Python, SQL, and have experience with data models and ETL processes. The role requires strong communication skills and the ability to work in a collaborative environment.

The VIE program is specifically designed for citizens of the European Economic Area between 18-28 years old, offering a unique opportunity to work abroad and develop professional skills in a global healthcare company. You'll be part of Sanofi's mission to chase the miracles of science to improve people's lives, while building your career in an innovative and inclusive workplace.

This role offers significant growth potential, with opportunities to influence key data initiatives and contribute to the Data Engineering community within Sanofi. You'll be working at the intersection of healthcare and technology, helping to transform how data is used to improve patient outcomes globally.