• 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    

• 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  
• Coach other members of data engineering teams on workflows, technical topics, pipeline management 
• 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  

• 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)

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field  
• 6+ 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 

• 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) 

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!