Data and AI Engineer

Biopharma Careers; Toronto; On-site; CAD 120,000 - 189,000; Full time

Job summary

Sanofi in Toronto is seeking a Data and AI Engineer to help build and operate data pipelines supporting AI/ML initiatives across R&D, manufacturing and commercial teams.

You will translate business requirements into scalable data solutions, create robust data models and ensure data quality while collaborating with data scientists and analysts to turn insights into action.

This role offers exposure to Snowflake, Python, and BI tools in a fast-paced environment with growth opportunities.

Qualifications

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field with 1 or 2 years of experience.
• Strong SQL and relational databases knowledge.
• Experience with data models and query tuning.
• Experience working with cross-functional teams.
• Familiar with agile/scrum processes.
• Fluent in English; other languages a plus.
• Detail-oriented and capable of solving complex issues.

Responsibilities

• Understand requirements from business teams and translate into technical specs.
• Gather and organize large data assets and perform analyses.
• Ensure data quality with analysts and data scientists.
• Propose data models and optimize queries.
• Create data models and optimize queries performance.
• Communicate results clearly to stakeholders.
• Collaborate with Product Owner to prioritize pipeline work.
• Design pipelines aligned with business needs.
• Leverage standard data pipelines to add business value.
• Uphold data governance and best practices.
• Stay up to date with company standards and new technologies.

Skills

SQL

Relational databases

Data modeling

Agile/Scrum

Cross-functional collaboration

English communication

Education

Bachelor’s Degree in Computer Science or Engineering

Tools

Snowflake

Informatica IICS

DBT

Python

R

GitHub

PowerBI

Tableau

JIRA

Confluence

ServiceNow

Job description

Reference no. R2862231

Position title: Data and AI Engineer

Department: Data Engineering I.

Location: Toronto, ON

About the job

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life‑changing treatment options and life‑saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

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.

Who You Are

You are a dynamic junior Data Engineer interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading‑edge tech stack.

World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

• Work with business teams to understand requirements, and translate them into technical needs
• Gather/organize large & complex data assets, and perform relevant analysis
• Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation)
• Propose and implement relevant data models for each business case
• Create data models and optimize queries performance
• Communicate results and findings in a structured way
• Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan
• Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements
• Leverage existing or create new “standard data pipelines” within Sanofi to bring value through business use cases
• Ensure best practices in data manipulation are enforced end-to-end
• Actively contribute to Data governance community
• Remains up to date on company’s standards, industry practices and emerging technologies

About You

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field with 1 or 2 years of experience
• Good knowledge of SQL and relational databases technologies/concepts
• Familiarity working with data models and query tuning
• Experience working with a variety of cross-functional teams
• Good understanding of agile/scrum development processes and concepts
• Able to work in a fast‑paced, constantly evolving environment and manage multiple priorities
• Pragmatic and capable of solving complex issues
• Service‑oriented, flexible team player
• Attention to detail & technical intuition
• Excellent written, verbal, and interpersonal skills for executive level communication and collaboration
• Fluent in English (Other languages a plus)

Preferred

• Familiarity in Data warehousing solutions (Snowflake a plus)
• Familiarity in Integration Services (Informatica IICS, DBT a plus)
• Familiarity with CI/CD pipelines
• Working knowledge of scripting languages (Python, R a plus)
• Familiarity with Source Code Management Tools (GitHub a plus)
• Familiarity with Visualization Tools (PowerBI, Tableau a plus)
• Familiarity with Project Management Tools (JIRA, Confluence a plus)
• Familiarity with Service Management Tools (Service Now a plus)
• Experience working in life sciences/pharmaceutical industry is a plus

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.

This position is for a new vacant role that is now open for applications.

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 torequest access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives.

We welcome and encourage applications from all qualified applicants.

Accommodations for persons with disabilities required during the recruitment process are available upon request.

North America Applicants Only

The salary range for this position is:

86,900.00 - 136,900.00 (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) LINK OR (US) LINK .

La fourchette salariale pour ce poste est la suivante:

86,900.00 - 136,900.00 (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