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 work 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.
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About the role
Our Team:
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
Sanofi's Digital Data organization's mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites.
The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater and most recently, Toronto, Budapest and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.
Main responsibilities as Data Engineer
In this role you will 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:
- 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
- Conduct peer reviews for quality, consistency, and rigor for production level solution
- Actively contribute to Data Engineering community and define leading practices and frameworks
- Remains up to date on the company's standards, industry practices and emerging technologies
Some of the projects you will work on and/or rotate through are the following: License Patrol, LAPPD (Landing Application and Project Portfolio management data) and RIDES.
About you
- Bachelor's Degree or equivalent in Computer Science, Engineering, or relevant field
- Experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Informatica/IICS a plus)
- Understanding of data structures and algorithms
- Working knowledge of scripting languages (Python, Shell scripting)
- Experience in cloud-based data platforms (Snowflake is a plus, AWS is a plus)
- Experience with job scheduling and orchestration (CTRLM is a plus, Airflow is a plus)
- Good knowledge of SQL and relational databases technologies/concepts
- 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)
Nice to haves:
- Experience working in life sciences/pharmaceutical industry
- Experience with IICS, Snowflake
- 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)
Note: this role is a VIE opportunity and is only available to European citizens due to external regulations.
Target start date: 1st of March 2025.
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