Job
- Level
- Experienced
- Location
- Cologne
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will design and build enterprise ontologies and knowledge graphs, formalize knowledge, and collaborate with subject matter experts to create structured representations for AI applications.
Job Technologies
Your role in the team
- Design and Build Enterprise Ontologies & Knowledge Graphs: Develop entity hierarchies, relationship types, and inference rules that allow AI systems to reason correctly across commercial data domains.
- Formalize Knowledge Representations: Translate business definitions and data models into machine-readable representations (e.g., OWL, RDF), ensuring consistency, reusability, and scalability.
- Capture Domain Logic: Collaborate with business subject matter experts to elicit, capture, and formalize domain knowledge and business logic into structured ontologies and taxonomies.
- Maintain Clear Semantic Boundaries: Collaborate with data modelers and semantic engineers to maintain well-defined boundaries between the ontology, the semantic data model, and the knowledge graph.
- Ensure Standards and Governance: Align knowledge assets with internal standards and semantic web best practices and contribute to governance guidelines for ontology and knowledge graph development.
- Enable AI and Analytics Use Cases: Ensure knowledge structures support a broad range of downstream consumers including conversational analytics, AI agents, and cross-domain reasoning rather than a single use case.
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Our expectations of you
Qualifications
- Business Translation: Ability to work with SMEs to capture domain logic and turn business definitions into clear, machine-readable structures
- Strategic Skills: Strong communication, problem-solving and stakeholder management, focused on reuse and scalability across use cases
- Ways of Working: Ability to work independently and take ownership and accountability on assigned tasks driving execution through completion while being part of a collaborative team
- Industry Knowledge: Deep understanding of regulatory requirements, data governance practices, and industry trends
- Language: Strong communication skills in English (spoken and written), be an effective, passionate, trusted advocate and communicator for knowledge graph and Semantic Web technologies
Experience
- Experience & Expertise: 3-5 years in engineering, semantic modeling, or information/knowledge management. Proficiency in ontology and taxonomy modeling and formal representation languages (e.g., RDF, OWL, SKOS), with hands-on experience building enterprise ontologies and knowledge graphs (e.g., Stardog, AWS Neptune)
- Technical Understanding: Practical experience working with graph databases and knowledge graph platforms (e.g., Stardog, AWS Neptune, or similar), including querying with SPARQL
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What we offer
- Receive a competitive salary and benefits package that reflects your impact.
- Get rewarded for recommending new hires through our referral program.
- Hilfe bei Visa, Genehmigungen und internationalen Einsätzen.
- Genießen Sie Vorteile, die auf Ihr Wohnsitzland zugeschnitten sind.
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Topics You Will Work On
Job Locations
About Your Employer
Fusion Consulting
Fusion Consulting (Germany) GmbH is an established consulting firm specializing in IT consulting and training. With a wide range of services including SAP and Salesforce, the company places great emphasis on quality and customer orientation.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting
Knowledge Engineer
- Location
- Cologne
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
