Toronto, ON, Canada
24 hours ago
Data Engineer

Reference No. R2809460

Position Title: Data Engineer

Department: Digital Data Engineering

Location: Toronto, ON

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. 

Sanofi has recently embarked on 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.

 
You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions 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 building 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

There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.   

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities:

Propose and establish technical designs to meet business and technical requirements

Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies

Create data pipelines / ETL pipelines and optimize performance

Test and validate developed solution to ensure it meets requirements

Create design and development documentation based on standards for knowledge transfer, training, and maintenance

Work with business and products teams to understand requirements, and translate them into technical needs 

Adhere to and promote to best practices and standards for code management, automated testing, and deployments

Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases  

Develop automated tests for CI/CD pipelines

Gather/organize large & complex data assets, and perform relevant analysis   

Conduct peer reviews for quality, consistency, and rigor for production level solution

Actively contribute to Data Engineering community and define leading practices and frameworks

Communicate results and findings in a clear, structured manner to stakeholders

Remains up to date on the company’s standards, industry practices and emerging technologies 

About You

Key Functional Requirements & Qualifications:

Able to work with cross-functional teams to solve complex data architecture and engineering problems 

Demonstrated  ability to learn new data and software engineering technologies in short amount of time

Basic understanding of agile/scrum development processes and concepts

Able to work in a fast-paced, constantly evolving environment and manage multiple priorities  

Strong technical analysis and problem-solving skills related to data and technology solutions

Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders

Pragmatic and capable of solving complex issues, with technical intuition and attention to detail  

Service-oriented, flexible, and approachable team player 

Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications:

Pursuing or completed Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 

Basic experience in data engineering, integration or comparable role with relevant technologies and tools (DBT is a plus)

Basic understanding of data structures and algorithms

Basic knowledge of scripting languages and coursework (Python, Shell scripting)

Basic knowledge in cloud-based data platforms (Snowflake is a plus, AWS is a plus)

Basic knowledge with job scheduling and orchestration (Airflow is a plus)

Basic understanding of SQL and relational databases technologies/concepts

Nice to haves:

Experience working in life sciences/pharmaceutical industry is a plus

Familiarity or internship experience with data ingestion through batch, near real-time, and streaming environments

Familiarity or internship experience with data warehouse concepts and architectures (data mesh a plus)

Familiarity with Source Code Management Tools (GitHub a plus)

Previous internship or project experience

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 current vacant role that we are actively hiring for.​

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.

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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

North America Applicants Only

The salary range for this position is:

$86,100.00 - $124,366.66

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

La fourchette salariale pour ce poste est la suivante:

$86,100.00 - $124,366.66

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien.

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