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Digitalents Graduate Program-Data Engineer
Digitalents Graduate Program-Data Engineer-January 2024
Barcelona
Jan 11, 2026
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 a two-year 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:

  As a Data Engineer, you will have the opportunity to work on two assignments based in two separate locations: first year in Barcelona (Spain) and the second year in Toronto (Canada).

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

  Main responsibilities as Data Engineer:

  Apply expertise in data engineering to design, develop, and implement robust data solutions while collaborating with cross-functional teams to understand intricate data requirements

  Leverage modern data engineering tools to design, develop, and optimize data pipelines and data sets to ensure efficient data ingestion, transformation, delivery of data

  Gain proficiency in data integration technologies and ETL (extract, transform and load)/ELT processes. Implement tasks related to the life-cycle management of deployed data assets, including monitoring and troubleshooting

  Work closely with cloud technologies, with a focus on AWS, to support the development and maintenance of modern cloud-native data platforms

  Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver data products helping AI-teams to create efficient models

  Work closely with cross-functional agile teams to contribute to the design and implementation of hybrid-cloud solutions with automated data pipelines

  Explore and develop foundational knowledge in data warehouse/lake solutions, data mesh architectures, and distributed processing technologies

  Build proficiency in SQL and relational/non-relational databases. Utilize programming languages such as Python, Shell scripting, and Scala/Java to optimize data engineering solutions

  Actively participate in the data engineering community, sharing insights, best practices, and innovative ideas to contribute to the growth of the industry

  Provide guidance and mentorship to junior team members, fostering a collaborative and growth-oriented team culture

  About You:

  Master's Degree in a relevant field such as Computer Science, Information Technology, or a related discipline

  Strong knowledge and experience in data engineering concepts, ETL/ELT processes, and modern data engineering tools

  Proficiency in programming languages such as Python, Shell scripting, and Scala/Java and familiarity with database systems, including SQL and NoSQL

  Knowledge of cloud and high-performance computer environments (e.g., AWS, GCP, Databricks, Apache Spark)

  Understanding of Agile concepts and principles, with the ability to work in a fast-paced agile environment

  Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts

  Business analysis, data visualization, and data storytelling skills

  Proficient in English; proficiency in Spanish would only be a plus

  Nice to have:

  Experience in production-ready software development

  Experience with DataOps (CI/CD)

  Knowledge of Tableau, Power BI, Plotly or similar

  Experience in life sciences and healthcare

  Experience in a complex global organization

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

  Target start date: April 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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