Senior Software Engineer, Gropyus

• You are experienced with one of the following languages: Python, Scala, Java, or generally JVM languages
• You are experienced with Semantic Web Technology, ontology engineering and knowledge graphs
• You are experienced in using RDFS and OWL as data modelling languages for describing RDF dataYou have experience with graph query languages, such as SPARQL or alternatively Cypher, Gremlin
• You are familiar with graph validation and rule evaluation tools such as SHACL, SWRL or other and can explain conceptsYou have experience working with graph databases such as AWS Neptune, RDF4J, Neo4j, Blazegraph, GraphDB, Apache Jena or similar (usage or backend experience is a strong plus)
• You have strong analytic skills and a transparent and collaborative communication style

Desirable

• The Data Language team interacts with experts from various domains such as Sustainability, AI, IoT, smart factory, construction engineers, building architects, logistics experts, software engineering, and solve complex challenges pertaining to end-to-end interoperability of data throughout the lifecycle of a building and all its associated processes
• Be involved in designing data- and information-models by formalizing concepts from various domains using state of the art approaches
• Integrate data processing pipelines for IoT, smart Factory and Building Systems
• Interoperate data ingestion with knowledge graph models.Implement data governance and security requirements
• Work on state of the art knowledge engineering data backend with the team
• Develop and suggest new ideas to address problems in algorithmic and modelling domain