Graph Data Engineer

Graph Data Engineer

Posted 1 day ago by Uneek Global

£600 Per day
Outside
Hybrid
London Area, United Kingdom

Summary: The Graph Data Engineer role involves working with a cutting-edge AI software company to design and scale complex knowledge graph systems for enterprise environments. The position requires expertise in Neo4j, Python, and graph algorithms, with a focus on building advanced graph-based reasoning infrastructure. This is a hybrid role based in London, requiring 2-3 days onsite per week. The contract is initially for 6 months with a high likelihood of extension, offering a competitive daily rate.

Key Responsibilities:

  • Design and scale complex knowledge graph systems.
  • Work with Neo4j, Python, and various graph algorithms.
  • Optimize graph traversal and query performance.
  • Ensure auditability and reasoning traceability in graph systems.
  • Collaborate in a hybrid work environment, primarily based in London.

Key Skills:

  • Experience with Neo4j and Python/FastAPI.
  • Knowledge of graph algorithms and graph traversal optimization.
  • Familiarity with graph construction and ingestion at scale.
  • Understanding of knowledge graph architecture.
  • Production-grade Python engineering skills.

Salary (Rate): £600/day

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

Graph Data Engineer (Neo4j/Python/Graph Algorithms) – Hybrid (London – 2/3 days onsite per week) – (£500-600/DAY OUTSIDE IR35) We are currently supporting a cutting-edge AI software company building advanced graph-based reasoning infrastructure for enterprise environments across highly regulated sectors. They’re looking for a Graph Data Engineer to join on a subcontractor basis, helping design and scale complex knowledge graph systems powering next-generation AI/LLM workflows.

Tech Stack:

  • Neo4j
  • Python/FastAPI
  • Graph Algorithms
  • GraphRAG
  • RDF/SPARQL
  • NetworkX/GraphBLAS
  • GCP/AWS
  • DuckDB/FalkorDB

Key Experience:

  • Large-scale graph construction & ingestion
  • Graph traversal & query optimisation
  • Knowledge graph architecture
  • Graph algorithms (PageRank, Louvain, Centrality etc.)
  • Auditability & reasoning traceability
  • Production-grade Python engineering
  • Complex enterprise data environments

Bonus Experience:

  • KG embeddings / PyKEEN
  • NER & relation extraction
  • Datalog / recursive query semantics
  • Regulated industries (Finance, Pharma, Defence)

Hybrid/Remote – preference for London-based engineers 6-month initial contract with high likelihood of extension £500–650/day Outside IR35 Great opportunity for an experienced Graph Engineer who enjoys solving complex data, performance, and reasoning challenges within cutting-edge AI environments.