Data Engineering Lead

Reference No. R2854815

Position title Data Engineering Lead

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 Dynamic Data Engineer Lead 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.

Responsibilities

Establish technical designs

to meet Sanofi requirements aligned with the architectural and Data standards

Ownership of the entire back end of the application , including the design, implementation, test, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes

Fine‑tune and optimize queries

using Snowflake platform and database techniques

Optimize ETL/data pipelines

to balance performance, functionality, and other operational requirements

Assess and resolve data pipeline issues

to ensure performance and timeliness of execution

Assist with technical solution discovery

to ensure technical feasibility

Assist in setting up and managing CI/CD pipelines

and development of automated tests

Developing and managing microservices using python

Conduct peer reviews

for quality, consistency, and rigor for production level solution

Design application architecture

for efficient concurrent user handling, ensuring optimal performance during high usage periods

Own all areas of the product lifecycle : design, development, test, deployment, operation, and support

About you

Bachelor’s degree in computer science, engineering, or similar quantitative field of study

5+ years of relevant experience developing backend, integration, data pipelining, and infrastructure

Expertise in database optimization and performance improvement

Expertise in Python, PySpark, and Snowpark

Experience data warehousing and object‑relational database (Snowflake and PostgreSQL) and writing efficient SQL queries

Experience in cloud‑based data platforms (Snowflake, AWS)

Proficiency in developing robust, reliable APIs using Python and FastAPI Framework

Understanding of data structures and algorithms

Experience in DBT

Experience in IICS is a plus

Experience in modern testing framework (SonarQube, K6 is a plus)

Strong collaboration skills, willingness to work with others to ensure seamless integration of the server‑side and client‑side

English is a must

Preferred

Knowledge of DevOps best practices and associated tools is a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools

Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift)

Infrastructure as code (Terraform)

Monitoring and Logging (CloudWatch, Grafana)

CI/CD Pipelines (JFrog Artifactory)

Scripting and automation (Python, GitHub, Github actions)

Experience with JIRA & Confluence

Workflow orchestration (Airflow)

Message brokers (RabbitMQ)

Benefits

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

Equal Opportunity Employer 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.

Compensation All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.

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