Ontology & Knowledge Graph Engineer (m/f/d)

Vor 2 Tagen

BadenBaden, Baden-Württemberg, Deutschland datin GmbH Vollzeit

Hey there We're
datin GmbH
, and we are building the "new power grid" for scientific innovation.

You know that the future of AI isn't just about Large Language Models. It's about
Structured Knowledge
. You understand that for an AI to truly assist scientists, it needs to understand the
meaning
behind the data, not just the patterns.

We are looking for a specialist to own the semantic core of our platform. You will be the architect of our
Knowledge Graph
, the person who translates complex scientific realities into a machine-readable logic (RDF). You will be the bridge between our backend developers and the abstract world of ontologies, ensuring that our infrastructure is consistent, scalable, and cutting-edge. This is a role for someone who wants to work at the absolute forefront of Semantic Web technology and AI.

Tasks

  • Ontology Architecture:
    Refine and evolve our core data schema. You will decide how concepts relate to one another, ensuring our graph remains flexible yet robust.

  • Semantic Feature Integration:
    Translate new application features into semantic logic. When the product team dreams up a new workflow, you figure out how to represent it in the Knowledge Graph.

  • Schema Federation:
    Integrate external ontologies (e.g., QUDT, BFO, specialized domain ontologies) and design new sub-schemas to expand our coverage of scientific domains.

  • Graph Consistency & Quality:
    Manage database consistency using SHACL shapes or reasoning rules. You ensure that the data entering our triple store adheres to the logic you've designed.

  • Developer Support:
    Act as the subject matter expert for our software engineers, helping them write efficient SPARQL queries and understand how to interact with the graph programmatically.

  • R&D Strategy:
    Research the latest W3C standards and Semantic Web trends to ensure datin remains ahead of the curve.

Requirements

  • Technical Core:
    Deep understanding of Semantic Web technologies:
    RDF, RDFS, OWL, and SPARQL
    .

  • Modeling Skills:
    Experience with ontology editors (like Protégé) and a knack for abstract modeling. You know the difference between a Class and an Instance and why it matters.

  • Validation:
    Familiarity with SHACL or similar validation languages is a strong plus.

  • Background:
    A degree in Computer Science, Mathematics, Information Science, or a related field (or equivalent deep self-taught expertise).

  • Mindset:
    You are meticulous and logical. You enjoy solving the puzzle of how to structure the world into a database.

Benefits

  • Above-average compensation

  • Flexible working hours

  • Free beverages

  • Public transportation benefits

  • Remote work

  • Travel expenses compensation

This is the future of scientific AI. At datin GmbH, you won't just be writing code; you will be defining the grammar of scientific discovery. If you are ready to build the semantic engine that powers the next generation of R&D, apply now and let's shape the future together.

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