Junior Data & AI Engineer - VIE Contract

• Location: India, Hyderabad
• Target start date: 01/10/2026

iMove, the Sanofi VIE Program, is available to citizens of the European Economic Area (EU + Norway, Liechtenstein and Iceland) aged between 18 and 28.

PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.

PLEASE NOTE that applications that are only submitted in French cannot be considered by our non-French speaking partners at Sanofi worldwide. Therefore, only applications that are submitted in English will be considered. Please make sure to apply with your personal email address.

About The Job As Junior Data & AI Engineer VIE within our Digital Transformation team, you’ll challenge the status quo to design and 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. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

• 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.

Join the digital engine driving Sanofi’s transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you’ll help build the first biopharma company powered by AI at scale. Ready to get started? About Sanofi We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. Main Responsibilities

• 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.
• 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 About you

• Experience working cross-functional teams to solve complex data architecture and engineering problems, and demonstrated ability to learn new data and software engineering technologies in short amount of time.
• 1-2 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.
• Experience in cloud-based data platforms (f.e. Snowflake).
• Experie…