Remote Graph DB Expert (Neo4j/Azure) for Enterprise AI

Square One Resources; United Kingdom; Teletrabalho; GBP 92 000 - 129 000; Tempo parcial

Resumo da oferta

Square One Resources is seeking a Graph Database Expert with strong Neo4j and Azure expertise to help build enterprise knowledge graphs and AI-powered solutions. You will design graph data models, develop Cypher queries, and optimise multi-hop retrieval while integrating graph data with Azure AI services.

The role focuses on node and relationship modelling, property and vector indexing for fast queries, and Python-based data ingestion and processing.

Qualificações

• Strong commercial experience with Neo4j and Cypher.
• Expertise in graph data modelling, ontology design and relationship mapping.
• Experience with Graph Data Science, vector search and multi-hop querying.
• Strong Python development skills.
• Experience with Microsoft Azure data and AI services.
• Knowledge of graph database performance tuning, indexing and retrieval optimisation.

Responsabilidades

• Develop and maintain graph data models, including nodes, relationships, schemas and data-quality rules.
• Build and optimise Cypher queries, multi-hop traversals and graph-based retrieval solutions.
• Implement property, full-text and vector indexing to improve query performance and retrieval accuracy.
• Transform structured and unstructured data into entities, relationships and knowledge graphs.
• Support GraphRAG and knowledge graph solutions for enterprise AI applications.
• Integrate Neo4j with Azure AI Search, Azure OpenAI and other Azure data services.
• Use Python to support data ingestion, transformation and graph processing.
• Monitor and troubleshoot performance, ensuring scalable and efficient graph database operations.

Conhecimentos

Neo4j

Cypher

Graph data modelling

Graph Data Science

Python

Azure

Descrição da oferta de emprego

Square One Resources is seeking a Graph Database Expert with strong Neo4j and Azure expertise to help build enterprise knowledge graphs and AI-powered solutions. You will design graph data models, develop Cypher queries, and optimise multi-hop retrieval while integrating graph data with Azure AI services.

The role focuses on node and relationship modelling, property and vector indexing for fast queries, and Python-based data ingestion and processing.