Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop enterprise ontologies and knowledge graphs, translate business definitions into machine-readable formats, collaborate with experts to capture domain knowledge, and implement standards for data governance.
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 collaborate with SMEs to capture domain logic and translate 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.
- Werden Sie belohnt, wenn Sie neue Mitarbeiter über unser Empfehlungsprogramm vorschlagen.
- 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
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
