Description

You will design, build, and optimise scalable RDF-based Knowledge Graphs to support advanced semantic querying and analytics.

This role is remote.

Responsibilities

• Build and maintain RDF Knowledge Graphs and semantic architectures.
• Design ontologies and manage semantic models for unified data domains.
• Develop data ingestion pipelines to load and combine data from multiple sources.
• Write and optimise SPARQL queries for analytics and performance.
• Implement CI/CD, automation, and version control for graph solutions.

Required Skills

• 3–5+ years designing, building, and optimising RDF-based Knowledge Graphs.
• Strong expertise in RDF, SPARQL, and OWL semantic standards.
• Hands-on experience with graph databases and triple stores (Stardog, Neo4j, Apache Jena, Amazon Neptune).
• Proven capability building data ingestion and integration pipelines across multiple sources.
• Proficiency in Python and SQL.
• Working knowledge of CI/CD tooling (Jenkins, Terraform, Git).
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud).

Preferred Skills

• Experience integrating Knowledge Graphs with AI or machine learning solutions.
• Practical experience using Knowledge Graphs to provide context for LLMs via Graph-RAG patterns.

Key Skills

Education

Any Graduate