Data Engineer

Reference No. R2796167

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 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 that will accelerate Manufacturing & Supply performance and help bring 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

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:

• Experience working 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

• Good 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:

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

• 4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt

• Understanding of data structures and algorithms

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

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

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

• Good knowledge of SQL and relational databases technologies/concepts

• Experience working with data models and query tuning

Nice to haves:

• Experience working in 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 a plus)

• Familiarity with Source Code Management Tools (GitHub 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.

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.