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Graph Data Developer

https://www.randstad.com Logo

Randstad

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Location:
Australia , Perth

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Contract Type:
Not provided

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Salary:

100.00 - 120.00 AUD / Hour

Job Description:

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)

Additional Information:

Job Posted:
May 16, 2026

Expiration:
June 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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