Digitalents Graduate Program - Data Engineer

Digitalents Graduate Program: Data Engineer

At Sanofi, we advance the process from discovery to therapy with the power of digital. We don't settle for less, and we hope you don't either. Digitalents is your opportunity to make a real impact on the transformation of our business and people's lives across the globe.  

Why Digitalents?  

Digitalents is an eighteen-month program that gives you the opportunity to complete different assignments while working with professionals from all over the world.    

You’ll be part of a cohort, a community of talents, that will receive personalized guidance and support to help build the foundation for your future career. From empowering group learning and development experiences around the world to expert career advice, you'll work alongside and have exposure with senior leaders who are invested in your success.  

About the role  

The Digital Corporate Functions Teams deliver Sanofi’s digital ambition to become the leading digital healthcare platform by: 

• Enabling the growth of Sanofi through simplification and transformation 

• Simplifying life of Sanofians with Best-in-Class employee experience through enhanced UI design, process simplification and automation 

• Modernizing our technology and processes for sustainable foundations 

Main responsibilities as Data Engineer (Bridgewater, USA) :

• Take part in Data Analysis, Data Design and implementation of effective database solutions and models to store and retrieve company data 

• Take part in the migration of data from legacy systems to new solutions

• Collaborate in defining and supporting the implementation, measurement, and activation of data-driven use cases 

• Work with the Product Owners, transversal Digital teams, and business teams to create a Data Framework and Data Strategy 

• Contribute to improve architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements 

• Assist in documentations and technical tasks as appropriate for various initiatives 

Second assignment will be focused on building Snowflake Data Foundations for HR, GOOD Program, and other Corporate Functions which involves a combination of tasks related to data modeling, integration, security, and collaboration.  

Data requirements:  

• Collaborate with HR, GOOD Program, and Corporate Functions stakeholders to understand their data requirements 

• Identify key data entities, relationships, and business rules 

Data Modeling: 

• Design and create data models that represent the structure of HR, GOOD Program, and Corporate Functions data 

• Utilize Snowflake's features for schema design, including tables, views, and relationships 

Data Integration: 

• Implement data integration pipelines to bring in data from various sources relevant to HR, GOOD Program, and Corporate Functions 

• Utilize Snowflake's capabilities for seamless data loading and transformation 

Data Quality and Security: 

• Work with Sanofi quality team to enforce standards and with respective security and business teams to secure the data 

Historical Data loading: 

• Plan and execute the loading of historical data into Snowflake, ensuring data consistency and accuracy 

• Develop strategies for handling incremental data updates 

Collaboration: 

• Foster collaboration between Digital teams, data engineers, and business teams to ensure a unified approach to data management 

• Conduct regular meetings and workshops for alignment 

Integration with Analytics & BI Tools: 

• Integrate Snowflake Data Foundations with analytics and business intelligence tools used within the organization 

• Ensure seamless data access for reporting and analysis 

About you :

• Master’s Degree in Data Science or some other (preferrable relatable) field 

• Certification or completed coursework in Data Analytics, Python (preferred) or R languages, Data Science, Snowflake, AI/ML 

• Microsoft Office suite (especially Excel) 

• Familiarity of Data Strategy, NLP, Machine Learning, Deep Learning, Analytics, MLOps (Machine Learning Operations) would be a plus 

• Working in an international environment 

• Fluency in English 

• Autonomous and pragmatic, having good interpersonal skills and is able to demonstrate adaptability 

• Great organizational skills, rigor and analytical min