Associate Staff Engineer (Graph Data Engineer)

Job Purpose

Apply deep expertise in Tiger Graph graph analytics and graph-based machine learning to architect and implement enterprise-scale graph platforms and advanced analytic engines on AKS Kubernetes enabling high-performance relationship-driven intelligence and providing expert guidance on graph-driven AI solutions.

Job Responsibilities

• Lead the design and development of advanced graph data models graph algorithms and graph-based machine learning solutions to unlock complex relationship insights and enterprise value.
• Translate highly connected and complex data into actionable business solutions using TigerGraph and graph analytics techniques within financial services contexts.
• Architect deploy and operate scalable Tiger Graph clusters on AKS Kubernetes ensuring high availability fault tolerance and optimal resource utilisation.
• Drive the operationalisation of graph-based analytics and machine learning use cases ensuring production robustness scalability and alignment with business objectives.
• Design build and manage distributed graph infrastructure on Kubernetes including containerisation orchestration autoscaling and cluster management.
• Implement secure and performant data ingestion pipelines into TigerGraph from enterprise data platforms (e.g. ADLS Databricks) supporting batch and real-time processing.
• Configure and manage networking storage and security for graph workloads on AKS including integration with enterprise identity access control and secrets management.
• Optimise graph query performance (GSQL) workload isolation and system throughput across large-scale distributed environments.
• Apply advanced graph techniques such as graph neural networks link prediction community detection and path analysis to solve high-impact use cases.
• Build and manage enterprise knowledge graphs enabling advanced analytics GenAI and RAG capabilities grounded in relationship-centric data.
• Enable feature engineering and reuse through graph-derived features enhancing downstream machine learning models and decisioning systems.
• Deliver high-impact graph analytics solutions across fraud detection financial crime customer intelligence and network risk management.
• Oversee end-to-end graph solution architecture ensuring seamless integration with data platforms APIs and enterprise systems.
• Develop CI/CD pipelines for graph applications and infrastructure using Kubernetes-native and DevOps tooling enabling automated deployment and monitoring.
• Provide thought leadership on graph and Kubernetes strategy embedding scalable graph capabilities into enterprise AI platforms.
• Mentor teams on graph modelling GSQL development Kubernetes operations and graph-based ML techniques.
• Continuously monitor and optimise system health cluster performance cost efficiency and model accuracy in dynamic environments.
• Evaluate emerging tools across graph Kubernetes and cloud ecosystems to inform platform evolution and roadmap development.
• Communicate complex graph and infrastructure concepts clearly to business and technical stakeholders.
• Champion experimentation and innovation in graph analytics and distributed systems engineering.
• Support strategic initiatives embedding graph platforms into enterprise digital and AI transformation programmes.

People Specification

Essential Qualifications - NQF Level

BSc Computer Science Engineering Mathematics Statistics or related STEM field.

Preferred Qualification

Master Degree in Computer Science Engineering Mathematics Statistics or related STEM field.

Preferred Certifications

• TigerGraph certification Kubernetes (CKA/CKAD) and cloud platform certifications (Azure preferred).
• Type of Exposure
• Graph engineering and large-scale graph platform deployment
• AKS Kubernetes cluster design and operations
• Distributed systems and cloud-native architecture
• Financial crime and fraud analytics using

Real-time and streaming data processing

• Enterprise integration and API-driven architectures
• DevOps CI/CD and infrastructure automation
• Strategy formulation and stakeholder engagement
• Minimum Experience Level
• 7 years experience for Senior

Remote Work :

No

Employment Type :

Full-time