Knowledge Engineer

Fusion Consulting AG; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Annual training budget

Visa and mobility support

Competitive salary & benefits

Global collaboration

Job summary

Fusion Consulting AG in Berlin seeks a professional to design and build enterprise ontologies and knowledge graphs, translating business definitions into machine-readable representations and ensuring governance across domains.

You will collaborate with subject matter experts, maintain semantic boundaries, and work with graph databases (Stardog, AWS Neptune) to enable AI and analytics use cases for diverse clients.

Qualifications

• 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).
• Hands-on experience building enterprise ontologies and knowledge graphs (e.g., Stardog, AWS Neptune).
• Business translation: work with SMEs to capture domain logic into machine-readable structures.
• Strong communication, problem-solving and stakeholder management for reuse and scalability across use cases.
• Experience with graph databases and knowledge graph platforms, SPARQL querying.
• Ability to work independently and take ownership while collaborating in a team.
• Deep understanding of regulatory requirements, data governance, and industry trends.
• Strong English communication (spoken and written).

Responsibilities

• Design and build enterprise ontologies and knowledge graphs.
• Formalize knowledge representations into machine-readable formats (RDF/OWL/SKOS).
• Capture domain logic with SMEs
• Maintain clear semantic boundaries between ontology, semantic data model, and knowledge graph.
• Ensure standards and governance for ontology and knowledge graph development.
• Enable AI and analytics use cases with knowledge structures spanning multiple domains.

Skills

Ontology design

Knowledge graph development

Business translation

Stakeholder management

Tools

Stardog

AWS Neptune

SPARQL

RDF/OWL/SKOS

Job description

• 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.

Additional Information

WHY YOU SHOULD JOIN FUSION:

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.

Joining Fusion means becoming part of a company that:

• Builds strong, trusted partnerships with clients, delivering tailored solutions that create real business value.
• Drives delivery excellence, holding ourselves accountable for the quality and impact of every outcome.
• Encourages entrepreneurial thinking, empowering you to take initiative, solve problems, and lead change.
• Operates with a truly global mindset, where diverse perspectives, cultures, and collaboration fuel our success.

WHAT WE OFFER – FUSION BENEFITS

We’ve designed our benefits to support your growth, well-being, and global mobility.

Growth & Development

• Invest in Your Learning: Access annual training budget for professional development.
• Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills.
• Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms.
• Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change.

Recognition & Reward

• Earn What You’re Worth: Receive a competitive salary and benefits package that reflects your impact.
• Refer Talent: Get rewarded for recommending new hires through our referral program.

Global Mobility & Local Support

• Navigate Global Moves: Get help with visas, permits, and international assignments.
• Benefit Locally: Enjoy perks tailored to your country of residence.
• Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success.

OUR SELECTION PROCESS:

Your time is valuable. That’s why our hiring process is clear, efficient, and focused on mutual fit:

Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.

Qualifications

• 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)
• 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
• Technical Understanding: Practical experience working with graph databases and knowledge graph platforms (e.g., Stardog, AWS Neptune, or similar), including querying with SPARQL
• 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

Empowering authenticity, encouraging collaboration, inspiring growth.