5 of 5 Neo4j Jobs in Scotland

guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills Experience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modeling Familiarity with vector search, embeddings, or retrieval‐augmented generation (RAG) patterns Exposure to large language model ...

ability to guide peers on safe and effective usage within team practicesPreferred qualifications, capabilities, and skillsExperience with graph databases and Cypher query language (e.g., Neo4j) or a strong interest in graph data modelingFamiliarity with vector search, embeddings, or retrieval-augmented generation (RAG) patternsExposure to large language model serving, agentic ...

clean code.Complex Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies.Distributed Systems Knowledge: An understanding ...

doing Design and develop scalable ETL/ELT data pipelines across multiple enterprise sources. Build enterprise data solutions using GCP, BigQuery, Google Spanner, Neo4j and Vector Databases. Develop Knowledge Graphs and data models to connect enterprise entities and knowledge assets. Build and optimise search and indexing capabilities. Implement metadata … Strong GCP experience. Strong ETL/ELT experience. Experience working with complex, cloud-native data environments. BigQuery experience. Kafka/event-driven architectures. Neo4j/Knowledge Graphs. AI/LLM and RAG solutions. Enterprise search and indexing. Data governance and regulatory environments. The opportunity This is a greenfield, high ...

ea Change is seeking a Data Engineer to join a greenfield enterprise knowledge management program. You’ll shape target-state architecture, build scalable ETL/ELT pipelines and develop knowledge graphs with GCP, BigQuery, Spanner ...