Job title: Knowledge Engineer
Job type: Permanent
Emp type: Full-time
Industry: IT
Salary type: Annual
Salary: negotiable
Location: Munich, BY
Job published: 01-09-2025
Contact name: Nicola Mccormack
Contact email: nicola@reviverecruitment.co.uk

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 You’ll 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 You’ll 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.

 

What’s 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

  1. Initial video interview (1 hour) with managers, HR, and department heads.

  2. On-site interview (4–5 hours including team lunch, site tour, and role deep-dive). Travel and accommodation costs covered.

  3. Final decision based on expertise, experience, and cultural alignment.