We are seeking a (Senior) Data / Knowledge Engineer to contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains. The role will involve integrating Knowledge Graphs in downstream tasks such as Generative AI applications, designing and developing large-scale Knowledge Graphs, and collaborating with various domain specialists and data owners.
Requirements
- PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines.
- 5+ years of professional experience with a deep background in Knowledge Graphs, and their application in a business context.
- Experience in semantic / knowledge modeling.
- Working proficiency in the RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and in property graphs-based solutions (e.g., neo4j).
- Experience mapping business operations into clear data models and organized schemas.
- Experience with Enterprise Knowledge Graph implementations and architecture, as well as knowledge of the current vendor ecosystem and open-source triple stores.
- Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models, KG generation and KG embedding approaches.
- Solid knowledge in Artificial Intelligence and data science, more specifically graph based approaches.
- Experience in Data Engineering with a hands-on approach to solving data challenges.
- Fluent in Python and the ability to convert your ideas into productive code.
- Ability to advise diverse stakeholders on how to apply an enterprise Knowledge Graph to business use cases.
- Developer experience with any SAP Application and its underlying data models is a plus.
- Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.
- Experience in a research environment, either during a PhD oder in an industry lab, is a plus.
Benefits
- Constant learning
- Skill growth
- Great benefits
- A team that wants you to grow and succeed