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# Data Engineer

- **Company:** Beruf
- **Location:** Hamburg, Germany
- **Contract:** Temporary to permanent
- **Skills:** Bioinformatics, Graph Database, Linked Data, Open Source Technology, Resource Description Framework (RDF), SPARQL, Information Technology
- **Published:** September 28, 2026
- **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/10001-1002990358-S

## About the Role

Master's degree (or equivalent) in computer science, data science, bioinformatics, or related field; PhD desirable

 - Proven experience in formal semantic modelling and ontology engineering (OWL, RDF/RDFS, Description Logics, SPARQL)
 - Familiarity with the Basic Formal Ontology and the OBO Foundry ontologies
 - Experience in the development of ontologies and graph schemata using Protégé, ROBOT, the Ontology Development Kit (ODK), and LinkML
 - Strong expertise in knowledge graphs and semantic technologies, including RDF, RDFS, OWL, SHACL, LinkML, SPARQL
 - Good understanding of FAIR (meta)data Principles, FAIR Digital Objects, Linked Data, persistent identifiers, and semantic interoperability, Experience in persistent-identifier schemes and provenance modelling
 - Background in research infrastructures or data-intensive scientific projects
 - Publications or contributions to the OBO community
 - Practical knowledge of biodiversity, life-sciences, or collection data.

## Description

to work in our team as soon as possible. The successful candidate will be responsible for the formal semantic modelling of content in the LIB Open Knowledge Space. They will develop and maintain ontologies, graph schemata and their corresponding SHACL shapes using the BFO/OBO ecosystem and related tools, ensuring that biodiversity data and knowledge are represented in a precise, interoperable, and reusable way, compliant with the FAIR and CLEAR Principles., Lead development of formal semantic models, including designing, extending, and modularizing ontologies for biodiversity and collection data, in collaboration with the other LIB centres

 - Create and curate knowledge-graph schemata (SHACL shapes) for the LIB Open Knowledge Space and ensure data quality through validation pipelines
 - Implement and operate ontology-centric workflows
 - Support open-source development and contribute to existing code bases
 - Apply for third-party funding