Ontology Engineer for Trusted AI Knowledge Graphs

You want AI that delivers instead of hallucinating? So do we. Here you'll find domain expertise, semantics and engineering in one product: d.AP. We connect enterprise data in the ontology-based Knowledge Graph. So that AI doesn't hallucinate, but delivers explainable, dependable results.

Your role.: As a Knowledge Engineer/Ontologist (m/f/d), you are responsible for mapping our clients' concepts, relationships and rules into our ontology, intelligently connecting complex enterprise data and making it usable for AI applications.

How you will shape tomorrow's world

• You talk to subject-matter experts across different departments, understand their domain knowledge and translate it into formal, semantic models.
• You build bridges between the business units and our engineering team, and make sure the knowledge model both reflects the reality of the domain and can be implemented to a high technical standard.
• You design and facilitate workshops to develop and establish a shared understanding (a “Shared Language”) of central business concepts together with stakeholders.
• You work closely with our engineering team, providing conceptual guidance for connecting databases, APIs and other sources to the Knowledge Graph.
• Using standards such as OWL/RDF, you not only build the model but also define the logical rules and constraints that safeguard the quality and consistency of our Knowledge Graph.

What sets you apart

• You think in abstractions and love turning complex relationships into clear, formal structures. Your ability to move from the concrete to the abstract is what sets you apart.
• You already have experience in modelling, for example with UML or, ideally, with semantic technologies (RDF, OWL).
• You can explain complex technical and logical models in a way that is both understandable and convincing for domain experts and developers alike. You listen exceptionally well and ask the right questions.
• You know how data flows through systems. Terms like APIs, databases and data pipelines are familiar territory. First experience with graph technologies (e.g. SPARQL, Cypher) is a big plus, but not a must.
• You have the drive not just to administer existing systems, but to help shape and push forward a new way of organising knowledge for AI from the ground up.
• You speak and write German fluently at a C1 level.

Our virtual fruit basket

• Latest Apple hardware
• Paid coworking space, wherever you are
• A personal annual budget plus additional Development Days for your external training
• An attractive offer for your company pension scheme with our partner DYNO
• Udemy account & premium Medium membership
• JobRad & bike leasing
• Wellpass membership

You can expect a team that:

• Practises trust. — We believe you yourself know best how, when and where you are productive. Whether from a home office, a co-working space or, for a while, from elsewhere in Europe — you shape your working day around your needs. And when we do meet in person, our events are genuine highlights.
• Fosters curiosity. — Learning never stops here. We support you in developing continuously — with time, budget and an environment that encourages exchange and thinking ahead. To us, curiosity is not a “nice-to-have” but a central value.
• Thrives on co-creation. — At digetiers you actively shape not only your own role but our company as a whole. Whether in projects, processes or our culture — your ideas count. We believe in bold co-creation rather than rigid structures.
• Brings passion to its work. — We like to laugh — and still deliver at the highest level. For us, fun and the will to perform don't rule each other out; they spur each other on.
• Sticks together like musketeer — One for all, all for one — at digetiers that is not just the origin of our name, it is lived, everyday reality. We win as a team and watch each other's backs.