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Randstad Digital is seeking two experienced Graph Data Developers to join a high-performing technical team. These roles are focused on the design and delivery of enterprise-grade graph analytics capabilities within a collaborative, multi-vendor environment. The successful candidates will be responsible for maintaining and evolving a premier analytics platform, ensuring it meets complex operational and performance requirements.
Job Responsibility:
Design, implement, and optimise graph database architectures, including schema design and best-practice Neo4j implementation
Deliver end-to-end graph-based data solutions, covering solution design, data modelling, development, and testing
Integrate graph analytics solutions within existing enterprise systems and broader data platforms
Troubleshoot and resolve complex data and graph performance issues to ensure platform reliability
Contribute to technical design discussions, apply architectural patterns, and recommend improvements for scalable graph solutions
Requirements:
Demonstrable experience in designing and optimising graph database solutions using Neo4j and Cypher
Strong programming experience in Python for graph ingestion, transformation, and orchestration
Experience developing and maintaining data orchestration pipelines and supporting SQL transformations
Ability to work independently with minimal supervision to deliver tasks and project components on time
Candidates must be able to undergo an Integrity Check and an NV1 security application
Nice to have:
Experience integrating Graph Data Science, Machine Learning, NLP, or LLM-driven components
Experience working across cloud-based analytics environments and using Azure DevOps Kanban Boards
Experience in large-scale enterprise analytics environments or public sector domains
A qualification in a quantitative subject (Data Science, Computer Science, IT, or Engineering)