Data Engineering Lead

About the job

At Sanofi, we chase the miracles of science to improve people’s lives.  We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people. 

As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better. 

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 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?

Our vision for digital, data analytics and AI

Sanofi has 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. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives. 

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they perform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome. 

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization.

• 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, published leaders and academics in machine learning to further develop your skillsets.

Who You Are:

As a dynamic Data & ML Engineering Lead, you are passionate about challenging the status quo and ensuring the development and impact of Sanofi's data and machine learning solutions for the patients of tomorrow. You are an influential leader with hands-on experience deploying scalable data and ML pipelines, applying state-of-the-art data engineering and machine learning practices with technically robust lifecycle management. You excel at coaching and managing Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success. Your keen eye for improvement opportunities and demonstrated ability to deliver solutions in cross-functional environments make you an invaluable asset to our team.

Main Responsibilities:

• Propose and establish technical designs to meet business and technical requirements.

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

• Create and optimize data pipelines / ETL pipelines for performance.

• Test and validate developed solutions to ensure they meet requirements.

• Coach other members of the data engineering team on workflows, technical topics, and pipeline management.

• Coach and manage junior Data and ML Engineers, providing guidance, mentorship, and support to foster their professional growth and ensure project success.

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

• Work with business and product teams to understand requirements and translate them into technical needs.

• Adhere to and promote 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 and organize large and complex data assets, and perform relevant analysis.

• Conduct peer reviews for quality, consistency, and rigor for production-level solutions.

• Actively contribute to the Data Engineering community and define leading practices and frameworks.

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

• Stay up to date on the company’s standards, industry practices, and emerging technologies.

About You

Key Requirements:

Functional Requirements & Qualifications:

• Experience working with cross-functional teams to solve complex data architecture and engineering problems.

• Demonstrated ability to quickly learn new data and software engineering technologies.

• Good understanding of agile/scrum development processes and concepts.

• Ability 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 the 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.

Technical Requirements & Qualifications:

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or a relevant field.

• 6+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or a comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/dbt.

• Strong understanding of data structures and algorithms.

• Working knowledge of scripting languages (Python, Shell scripting).

• Experience with cloud-based data platforms (Snowflake is a plus).

• Experience with job scheduling and orchestration tools (Airflow is a plus).

• Proficient in SQL and relational database technologies/concepts.

• Experience working with data models and query tuning.

Nice to have:

• Experience working in the life sciences/pharmaceutical industry is a plus.

• Familiarity with data ingestion through batch, near real-time, and streaming environments.

• Familiarity with data warehouse concepts and architectures (data mesh is a plus).

• Familiarity with Source Code Management Tools (GitHub 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

The opportunity is an ADDITION

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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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.

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.