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Digitalents Graduate Program - Data Engineer
Digitalents Graduate Program - Data Engineer-April 2024
Bridgewater
Apr 17, 2025
ABOUT SANOFI U.S.
People at Sanofi are dedicated to making a difference in patients’ daily lives, enabling them to enjoy a healthier life.
10,000+ employees
Biotechnology
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About 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 mind

  Open-minded, team player with interest to interact on transversal topic

  Please mind that only applications submitted in English will be considered.

  *Note: this role is a VIE opportunity and is only available to European citizens due to external regulations.

  Target start date: May 2024

  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, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

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

  #digitalents

  At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

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