Knowledge Engineer
Knowledge Engineer
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Job Description
Job Description
Knowledge Engineer
Lindau or Munich (Hybrid)
Salary Competitive bonus potential
English C1 (fluent) German C1 (fluent)
Revive Recruitment is delighted to be partnering with an innovative fast-growing technology consultancy that specialises in knowledge management and intelligent information systems. With a mission of turning information into value and a strong focus on customer success innovation and collaboration they are now looking for an experienced Knowledge Engineer to join their dynamic team.
What Youll Do
Dive into customer knowledge domains and model complex relationships to create intelligent accessible systems.
Design develop and maintain knowledge graphs semantic data models vector databases and relational databases.
Collaborate with subject matter experts to build precise ontologies taxonomies and controlled vocabularies.
Develop efficient SPARQL queries transform data and continuously optimize models.
Analyze adapt and enhance knowledge models to meet evolving client requirements.
Build operate and orchestrate robust data engineering pipelines across company client and cloud infrastructures.
Integrate and optimize AI technologies including LLMs chatbots agents and RAG/GraphRAG systems.
Scout and evaluate new technologies ensuring effective integration into existing architectures.
Solve complex problems with innovative sustainable solutions.
What Youll Have
University degree in Computer Science Information Science Knowledge Management Artificial Intelligence or a related field.
Minimum 2 years professional experience in Knowledge Engineering Knowledge Management or a related role.
Experience working with clients and cross-functional project teams.
Strong knowledge of databases ontologies semantic technologies and SPARQL.
Hands-on experience with tools such as PoolParty AVM AnzoGraph DB or Ontotext GraphDB.
Advanced Python skills (programming debugging deployment).
Expertise in LLMs chatbots RAG systems AI classification and machine learning pipelines.
A structured solution-oriented working style and passion for innovation.
Whats in It for You
Be part of a people-first company culture built on respect transparency and collaboration.
Work with cutting-edge technologies including AI knowledge graphs and advanced semantic solutions.
Strong growth opportunities within a fast-expanding organisation.
Agile methods (Scrum Kanban) and modern flexible working approaches.
Hybrid working model: 2 days home office per week flexible hours and the option of a 32-hour workweek.
30 days of annual leave plus Christmas Eve off.
Competitive salary with potential performance bonus (up to 5%).
Additional benefits including bicycle/e-bike leasing commuting subsidy modern workspaces and regular team events.
Hiring Process
Initial video interview (1 hour) with managers HR and department heads.
On-site interview (45 hours including team lunch site tour and role deep-dive). Travel and accommodation costs covered.
Final decision based on expertise experience and cultural alignment.
Employment Type
Full-Time
