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Graph DB Expert

Square One Resources · England, United Kingdom · Vor Ort · Senior

  • England, United Kingdom · Vor Ort
  • 7 months

Indexiert (vor 7 Tagen) · laufend aktualisiert

Start
flexible
Laufzeit
7 months
Arbeitsmodell
Vor Ort
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
3063105

Geforderte Skills

Jobbeschreibung

Project overview

Graph Database Expert - Neo4j/Azure

Project details

UK Remote

Contract: 6 months

£375-455 Daily Rate, Inside IR35

The Opportunity

We are seeking an experienced Graph Database Expert with strong Neo4j and Azure expertise to support the development of enterprise knowledge graphs and graph-powered AI solutions.

You will focus on graph data modelling, Cypher query development, retrieval optimisation and integrating graph databases with modern AI and cloud technologies.

Key Responsibilities

Essential Skills & Experience

Desirable Experience

If you have strong Neo4j expertise and experience building graph-powered data or AI solutions, we would be keen to hear from you.

Disclaimer

Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

  • 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.
  • 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.
  • GraphRAG and LLM integration.
  • Knowledge graph extraction from unstructured data.
  • Azure Data Factory, Azure Functions and Azure DevOps.
  • Enterprise data governance and cloud cost optimisation.
  • Start: flexible
  • Duration: 7 months
  • Remote: onsite
  • Location: England, United Kingdom, GB

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