Location: Toronto, ON
Your job? Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
As a
Senior Data Engineer focusing on Agentic Data Tooling build, you will be responsible for designing and operationalizing the next generation of intelligent, self-serve data infrastructure. This role sits at the intersection of data engineering and AI engineering - building the autonomous framework that powers data engineering development workflows as well as self-serve data product creation.
Main Responsibilities: - Design and deploy agentic frameworks for self-serve data product creation
- Build self-healing data pipeline infrastructure with autonomous monitoring and remediation
- Develop AI-driven QC agents that detect anomalies, validate data flows, and enforce trust
- Architect observability layers that make data quality legible - to humans and agents alike
- Manage and govern the full infrastructure stack underpinning agentic data operations
About You - Bachelor's degree or above in Computer Science, Engineering, or a related field. A master's degree is preferred.
- Significant experience of 5 years in data engineering roles, with increasing levels of responsibility and complexity.
- Deep fluency in multi-agent system design - beyond demos, into production-grade reliability
- Proven track record of successfully designing, building, and deploying complex data platforms and data products, with deep knowledge of modern data engineering tech stack (Airflow, DBT, Snowflake and AWS native services).
- Experience with Agile methodologies and the ability to manage projects from conception to deployment.
- Solid understanding of data governance principles, data security best practices, and data quality management.
- Product-oriented mindset, with a deep understanding of the methodology for implementing data as a product and a passion for driving data democratization.
- Excellent communication, interpersonal, and negotiation skills
Why Choose Us? - Bring the miracles of science to life alongside a supportive, future-focused team.
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.
AI Usage "Artificial Intelligence" refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company's Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada's Privacy Officer via Sanofi's data subject request portal, Data Subject Rights Webform. The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.
North America Applicants Only
The salary range for this position is:
158,200.00 - 208,200.00 (Includes target bonus)
Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefits programs, and additional benefits information can be found through the (CA)LINKOR (US) LINK.
La fourchette salariale pour ce poste est la suivante:
158,200.00 - 208,200.00 (Comprend le bonus cible)
La rémunération finale sera déterminée en fonction de l'expérience démontrée, des compétences, du lieu de travail et d'autres facteurs pertinents. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise, et des informations supplémentaires sur les avantages sociaux peuvent être trouvées via le lien
