Neo4J Engineer

Next Ventures; Greater London; Hybrid; GBP 111,000 - 129,000; Full time

Job summary

Next Ventures seeks a Neo4j Engineer for a 7-month contract in London, hybrid work arrangement. The role involves translating architect guidance into Neo4j implementations, leading a small team to deliver high-quality graph solutions.

You will design graph schemas, build ETL/ELT pipelines, optimize Cypher, and expose data via APIs for downstream systems including chatbots. Collaboration with Knowledge Graph Architect is essential to maintain quality and scalability.

Qualifications

• Designs and builds Neo4j schemas to map target data into nodes and relationships.
• Defines, develops and maintains ETL/ELT pipelines for ingestion and transformation into the graph.
• Designs sub-graph views to control content exposed to downstream consumers.

Responsibilities

• Writes and optimises Cypher queries for loading, transforming, and retrieving graph data.
• Implements graph data models balancing query performance with semantic accuracy.
• Builds and maintains APIs exposing graph data to downstream consumers and chatbots.

Skills

Neo4j

Cypher

ETL/ELT

Graph data models

APOC

Knowledge graph

Data quality

Tools

APOC extensions

Neo4j tooling

Graph APIs

Job description

Neo4j Engineer - 7 months - £600-700 per day - Hybrid London

Our banking customer are looking for a Neo4j Engineer to work on contract with their existing team;

Can interpret the instruction from the overall solution architect for the project into approaches and tasks in Neo4j, and direct a small engineering team to complete these to high quality

• Designs and builds the Neo4j graph database schemas, translating the target into concrete node/relationship structures
• Defines, develops and maintains ETL/ELT pipelines to ingest, transform, and load data from source systems into the graph
• Designs and defines sub-graph views to control and manage the content available to downstream consumers of the graph
• Writes and optimises Cypher queries for data loading, transformation, and application-facing retrieval
• Implements graph data models that balance query performance with semantic accuracy
• Builds and maintains APIs/integration layers exposing graph data to downstream consumers (including the chatbot)
• Collaborates with the Knowledge Graph Architect to implement ontology, knowledge and schema changes as code
• Supports performance tuning, indexing, and scaling of the Neo4j instance
• Automates data refresh and synchronisation processes between source systems and the graph
• Troubleshoots data integrity and pipeline issues in collaboration with the Quality Engineer
• Documents graph schema and data lineage
• Defines , designs and implements graph quality metrics and measurement techniques to maintain, calculate and display confidence scores
• Defines and designs APOC and Neosemantic processing within Neo4j to identify and deal with orphans, orphaned subgraphs, duplicates and high similarity objects