Responsibilities
- Advise on cutting-edge advancements in semantic technologies, including triple stores, SPARQL performance, semantic search, data visualization, scalability, and security measures.
- Design and deliver technical blueprints, prototypes, pilot projects, and production-ready systems from initial concept through deployment.
- Develop and carry out data migration plans, implement OWL-based ontologies, and build system monitoring tools.
- Formulate strategies to promote open data principles, ensuring information is accessible, reusable, and generates measurable impact.
- Lead data validation efforts, manage quality assurance processes, and resolve system issues to maintain high reliability.
- Provide training sessions, technical presentations, and clear guidance tailored for both technical and non-technical audiences.
- Ensure seamless knowledge transfer by managing structured handover procedures and documentation.
Benefits
- Turn unstructured data into meaningful, actionable knowledge used by real people.
- Tackle intricate problems requiring both technical accuracy and innovative thinking.
- Establish yourself as an expert in knowledge systems, influencing how organizations access, exchange, and interpret information.
Work Arrangement
Hybrid — Luxembourg
