Job
- Level
- Erfahren
- Ort
- Stuttgart
- Arbeitsmodell
- Onsite
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du Enterprise-Ontologien und Wissensgraphen, übersetzt Geschäftsdaten in maschinenlesbare Strukturen und arbeitest eng mit Fachexperten zusammen, um branchenspezifisches Wissen zu erfassen.
Job Technologien
Deine Rolle im 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: Work 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.
Unsere Erwartungen an dich
Qualifikationen
- 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
Erfahrung
- 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
Unser Angebot
- At Fusion, you'll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry.
- You'll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes.
- You'll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation.
- Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork-empowering you to grow both professionally and personally.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Fusion Consulting
Fusion Consulting (Germany) GmbH ist eine etablierte Beratungsfirma, die sich auf IT-Beratung und -Schulungen fokussiert. Mit einem breiten Spektrum an Dienstleistungen, darunter SAP und Salesforce, legt das Unternehmen großen Wert auf Qualität und Kundenorientierung.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Beratung
Knowledge Engineer
- Ort
- Stuttgart
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
