Semantics / Knowledge Graph Engineer

About the role

A complex platform built around RDF data models, SPARQL queries and structured datasets needs a Semantics / Knowledge Graph Engineer. You will understand, maintain and evolve the semantic layer of the system, working closely with backend engineers and architects. The role suits someone who enjoys data modelling, semantics and knowledge representation in real-world production systems.

Key responsibilities

• Analyse and maintain RDF/TTL data models and vocabularies
• Develop, optimise and maintain SPARQL queries
• Support data ingestion, transformation and validation workflows
• Ensure consistency and correctness of semantic data across the platform
• Collaborate with backend engineers to integrate semantic logic into application flows
• Help document semantic models, assumptions and constraints
• Take part in troubleshooting data quality and reasoning issues

Required profile

• 3+ years of experience with semantic or data-centric systems
• Ability to analyse existing models and understand implicit domain logic
• Nice to have: experience with triplestores or graph databases, familiarity with EU data standards or interoperability frameworks, Python scripting for data processing or Apache Airflow, and experience in projects with regulatory or standards-driven constraints

Required skills

• RDF, RDFS, OWL
• SPARQL
• Structured data formats: TTL, XML, JSON, CSV
• Nice to have: knowledge graphs, ontology design, triplestores or graph databases

What we offer

• Competitive full-time salary
• Private health coverage through the company's group programme
• Flexible working hours
• Professional development through language courses, specialised training and continuous learning
• Career growth and mentoring in a dynamic environment

Applicants submit a detailed CV in English quoting the reference (S/KGE/11/26).