Knowledge Graph Engineer

vor 4 Wochen

München, München (Kreis), Deutschland ZEISS Vollzeit
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

Join us today. Inspire people tomorrow.

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

Apply now It takes less than 10 minutes.
Aufgaben

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 the vision 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


Profil

  • 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

  • Excellent programming skills in Python, including mastering the standard libraries for NLP, machine learning and data science; knowledge of at least one other programming language (e.g. Java, Javascript) is a plus

  • 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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