Senior Knowledge Engineer

Quick Facts

• Role: Senior Knowledge Engineer (Data & AI)

• Focus: Knowledge-driven, AI-ready data products (data architecture, knowledge graphs, semantic layers, and AI enablement)

Description

You will join the Data & AI team to build knowledge-driven solutions that enable analytics, AI, and scientific innovation. This role combines Data Architecture, Knowledge Engineering, and AI Enablement to create scalable, AI-ready data foundations. You will model knowledge, connect data across systems, and design semantic and graph-based solutions that unlock enterprise data value.

Responsibilities

• Design and implement conceptual, logical, and physical data models

• Develop semantic layers and knowledge representations to improve data discoverability and reusability

• Build and evolve knowledge graph solutions and metadata-driven architectures

• Collaborate with domain experts to capture and formalize business knowledge into scalable data models

• Create data-oriented APIs and integration patterns for analytical and AI use cases

• Support knowledge retrieval and graph-based AI solutions for GenAI and agentic AI

• Evaluate emerging technologies in Data Management, Knowledge Engineering, Semantic AI, and Generative AI

• Participate in code reviews and architecture discussions; promote engineering best practices

• Support enterprise data governance, metadata management, and data quality initiatives

• Design solutions that protect enterprise data and collaborate with security/governance teams for compliance

Requirements

• Bachelor’s degree in a relevant field (Computer Science, Information Systems, Data Engineering, Knowledge Engineering, Computational Linguistics) or equivalent practical experience

• Strong experience in data modelling (conceptual, logical, physical)

• Experience in Data Architecture and/or Knowledge Engineering and/or Data Engineering and/or Metadata Management

• Experience with knowledge graphs, graph databases, semantic technologies, or metadata-driven architectures

• Hands-on experience designing APIs and data integration solutions

• Strong engineering background in data engineering, software engineering, cloud engineering, or platform engineering

• Proficiency in at least one programming language

• Familiarity with Git and collaborative software development practices

• Strong analytical, communication, and stakeholder management skills

• Ability to collaborate effectively across technical and business teams

Benefits

• Medical care above statutory requirements

• Flexible benefits (leisure and well-being/sports programs)

• Life, accident, and disability insurance (group coverage)

• Employer-supported pension plan with regular company contributions

• Home office allowance to support hybrid or remote work

• Extra paid holidays

• Variable pay components may be available, including performance-based bonuses

Benefits may vary depending on country, role, and employment conditions.