Senior Knowledge Engineer
If you are passionate about semantic technologies, AI, and knowledge management and want to work in a collaborative, innovative environment, we’d love to hear from you!
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Senior Knowledge Engineer
📍 Location: Lindau, Germany (preferred)
🏢 Hybrid: Up to 2 days/week home office (no full-remote)
🛠 Other Offices: Munich (currently WFH setup)
✈️ Travel: Occasional project visits on-site (rare)
About the Role:
We are seeking a (Senior) Knowledge Engineer to join our Knowledge Engineering team. In this role, you will design and optimize semantic models, build data pipelines, and work with cutting-edge technologies such as knowledge graphs, semantic data models, and AI-driven solutions (LLMs, RAG, GraphRAG). You will collaborate closely with customers and internal experts to deliver innovative, sustainable solutions.
Key Responsibilities:
Knowledge & Data Modelling: Design, develop, and maintain knowledge graphs, semantic data models, vector and relational databases.
Ontologies & Metadata: Create and refine ontologies, taxonomies, and controlled vocabularies together with subject matter experts.
Queries & Data Optimization: Develop SPARQL queries, transform datasets, and continuously optimize semantic models.
Consulting & Model Enhancement: Analyze existing knowledge models and adapt them to new requirements.
Data Engineering Pipelines: Build and orchestrate data pipelines across company, customer, and cloud infrastructures.
AI & Machine Learning: Integrate and optimize LLMs, chatbots, agents, and RAG-/GraphRAG-based systems.
Technology Scouting: Evaluate and adopt emerging technologies into customer architectures.
Complex Problem Solving: Address challenges with innovative and sustainable solutions.
Must-Have Qualifications:
At least 3 years of professional experience in Knowledge Engineering, Knowledge Management, or a comparable role.
Strong expertise in data/knowledge modelling, semantic technologies, and ontologies.
Proficiency in databases, SPARQL, RDF, SHACL.
Hands-on programming experience with Python (programming, debugging, deployment).
Excellent communication skills in German (C1) and English (C1).
Nice-to-Have Qualifications:
Certifications in Data Science, Machine Learning, or Project Management.
Industry experience in mechanical/plant engineering.
Familiarity with tools such as PoolParty, AVM, AnzoGraph DB, Ontotext GraphDB.
Experience & Education:
Experience: 2–3+ years in Knowledge Engineering or similar, with customer project experience and cross-functional collaboration.
Education: Degree in Computer Science, Information Science, Knowledge Management, AI, or related field (additional certificates are a plus).
Technical Skills: RDF, SPARQL, SHACL, XML, XSLT, DITA, XPath, Java/Python, GraphDB tools.
- Department
- Information Technology
- Locations
- Germany
- Employment type
- Full-time
- Employment level
- First /Mid-Level Officials
- Job location
- Lindau, Germany
- Employment Level | Seniority
- Mid-Senior level
Workplace & Culture at Sperton
At Sperton, we believe that great results come from great people.
Our culture is built on trust, collaboration, and a shared passion for delivering quality in everything we do.
We are a Norwegian-owned international company with colleagues across Europe, Asia, and the USA, working together seamlessly across time zones and cultures. Our teams are diverse, yet united by the same goal — to connect people and companies in meaningful ways.
We value openness, initiative, and continuous learning. Everyone at Sperton is encouraged to take ownership, share ideas, and challenge existing ways of working to make our solutions even better.
Even though we operate globally, our approach is personal. We take pride in creating a supportive and inclusive environment where people feel heard, respected, and motivated to grow — both professionally and personally.
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