Knowledge Graph Engineer (f/m/x)

ZEISS Group; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Join ZEISS Group as part of the Data & Analytics team to drive the digital transformation. The role focuses on developing knowledge graphs and integrating data solutions, requiring a strong background in data technologies and a passion for innovation in analytics.

Qualifikationen

• 3+ years of experience in data integration and building knowledge graphs.
• Familiarity with SQL, SPARQL, RDF, and OWL-based ontology modeling.
• Experience with cloud technologies such as Microsoft Azure is a plus.

Aufgaben

• Integrate information into knowledge-graph systems and model knowledge.
• Develop algorithms for graph queries and analytics using AI/ML.
• Collaborate with data scientists and engineers to create data-oriented applications.

Kenntnisse

Data integration

Knowledge graph construction

SPARQL

Machine Learning

Natural Language Processing

Ausbildung

MSc/PhD in Information Technology, Computer Science, or Natural Sciences

Jobbeschreibung

Client:

ZEISS Group

Location:

Job Category:

Other

-

EU work permit required:

Yes

Job Reference:

462b4a0f86cb

Job Views:

2

Posted:

21.06.2025

Expiry Date:

05.08.2025

Job Description:

Your Role

You will play a crucial role in shaping the future of Data & Analytics and actively contribute to the success of the digital transformation at ZEISS.Within the Enterprise Data Management Team of our rapidly growing Data & Analytics organisation, you will help our business units to design, build, and maintain knowledge-based systems, driven by thevision to enable everyone to effectively find, learn, share, & innovate throughout the enterprise.

You will

Integrate information into knowledge-graph based systems and engage in data & knowledge / ontology modelling, knowledge graph construction, and validation

Develop and apply algorithms based on graph queries / analytics (e.g., SPARQL), graph reasoning (e.g., RDFS+, OWL), AI/ML (e.g., NLP, graph embeddings) to enable various analytics use cases leveraging knowledge graphs

Work in a team with data scientists, data & software engineers & product owners to create scalable, reusable and performant data-oriented applications, incl. e.g., chatbots, recommender, search, and other knowledge-based systems

Convey technically difficult concepts in a clear and understandable way, translate business needs to technical specifications, and provide guidance for knowledge graph & ontology development to other teams

Evaluate the latest methods and technologies and support the design of our data & analytics platforms and governance infrastructures - Continuously improve quality and performance while owning applications from idea to operations

Your profile

An excellent university degree (MSc/PhD) in information technology, computer science, natural sciences, or similar training

At least 3 years of working experience in data integration, building (semantic) knowledge graphs, querying (graph) data using standard query languages (SQL, SPARQL)

Familiarity with machine actionable languages (e.g., RDF), linked data principles and standards, & OWL-based ontology modelling in commonly used tools

Solid understanding of at least one of Graph Analytics, Machine Learning / Deep Learning, Natural Language Processing

An independent (“can-do”), solution-oriented and team-oriented way of working, not afraid to take on responsibility

Strong desire to learn & upskill at the intersection of data, science & industry

Experience with the following is welcome and considered as a plus: Cloud technologies like Microsoft Azure (e.g., Synapse, Databricks, Azure DevOps) - CI/CD using e.g., git, docker - Agile software-development using Scrum / Kanban

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