Samenvatting
About the Role
What You’ll Do
As an Enterprise Semantic Layer & Data Platforms Engineering Intern, you will help build enterprise data capabilities that enable trusted, connected, and AI-ready data across the organization.
- Support the development of Enterprise Semantic Layer and Ontology Management platforms, including solutions such as Centree.
- Contribute to semantic modelling, metadata management, and knowledge management capabilities that improve data discoverability and interoperability.
- Assist in integrating Metadata, Data Catalog, Data Quality, and Master Data Management (MDM) platforms.
- Participate in API-based integrations, automation, and platform engineering initiatives.
- Support platform testing, validation, documentation, and operational excellence activities.
- Contribute to AI/GenAI-powered use cases for metadata management, semantic modelling, and data governance.
- Assist in innovation, proof-of-concepts (POCs), and modernization initiatives.
- Collaborate with architects, engineers, and business teams to deliver scalable and governed data solutions.
What You’ll Learn
· Enterprise Semantic Layer, Ontology Management, and Knowledge Graph concepts.
· Metadata, Data Quality, Data Catalog, and MDM platform integration.
· API-based integration, automation, and cloud platform engineering.
· AI/GenAI-driven approaches for metadata management and semantic modelling.
· Enterprise data governance, architecture, and scalable platform design.
· Agile delivery and collaboration within global data and analytics teams.
Who We’re Looking For
· Pursuing a B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Electronics, Data Science, or a related discipline.
· Strong analytical and problem-solving skills.
· Passion for learning modern data, AI, and governance technologies.
· Strong communication and collaboration skills.
· Ability to thrive in a fast-paced, agile, team-oriented environment.
· Interest in data platforms, semantic technologies, integrations, automation, and AI-driven solutions.
· Participation in hackathons, research, innovation challenges, or open-source projects is a plus.
What We Offer
· Hands-on experience with enterprise-scale Data & Analytics platforms.
· Exposure to Semantic Layer, Ontology Management, Knowledge Graphs, and Data Governance solutions.
· Practical experience integrating Metadata, Data Catalog, Data Quality, and MDM platforms.
· Experience with APIs, automation, cloud platforms, and platform engineering.
· Opportunity to work on AI and GenAI-driven innovations.
· Mentorship from experts in Data Architecture, Platform Engineering, and Data Governance.
· Experience working in a global, agile, and collaborative environment.
Understanding of how modern data platforms enable trusted, governed, and connected enterprise data ecosystems.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)
