Fractional Lead Graph Engineer

About the role

Our client, an early‑stage technology business building a financial intelligence platform, is looking for a Fractional Lead Graph Engineer to design and optimise the core financial knowledge graph. Working closely with the founder and the wider technical team, you will shape a scalable graph architecture that integrates unstructured operational data with structured financial transactions, on a part‑time (1–2 days per week) basis.

Key responsibilities

• Design and develop a scalable graph database architecture using Neo4j Enterprise.
• Create graph schemas representing financial structures, tax rules, organisational hierarchies and operational relationships.
• Build streaming data pipelines that ingest and connect structured transactional data with unstructured business information.
• Optimise graph queries, clustering, sharding and sub‑graph extraction for high‑throughput, low‑latency use cases.
• Ensure graph data can be supplied efficiently and reliably to machine‑learning and inference services.
• Establish engineering standards for data integrity, resilience, observability and documentation.
• Collaborate with backend, AI and infrastructure specialists, transferring knowledge to the wider engineering team.

Required profile

• Significant commercial experience designing and scaling enterprise graph databases, distributed data systems or high‑volume event‑driven back‑ends.
• Strong production experience with Neo4j and graph query languages such as Cypher or Gremlin.
• Deep understanding of graph modelling, distributed systems, data architecture and performance optimisation.
• Experience with streaming technologies such as Apache Kafka and Flink.
• Ability to work hands‑on while providing senior architectural guidance in an early‑stage environment.
• Fintech, accounting, payments, banking or other data‑intensive regulated sector experience is advantageous.

Required skills

• Neo4j Enterprise
• Cypher or Gremlin query languages
• Graph modelling and architecture
• Distributed systems design
• Data architecture and performance optimisation
• Apache Kafka
• Flink

What we offer

• Competitive remuneration for a fractional commitment of 1–2 days per week.
• Opportunity to shape a technically ambitious platform at an early stage of development.
• Flexible working arrangements with London listed as the role location.
• Scope to make a substantial architectural contribution while working alongside experienced technical and financial specialists.