The key duties of the position include We are seeking experienced and highly motivated leaders to join our Data Engineering - Graph Analytics team. As a Data Engineer (Graph Analytics), you will play a key leadership role in designing, building, and advancing enterprise-scale graph solutions, with a strong focus on TigerGraph and network analytics capabilities. This role requires deep expertise in graph data modelling, graph schema design, and large-scale graph curation, along with the design to scalable, and high-performance graph environments. You will be responsible for delivering production-grade graph platforms, applying best-practices in graph optimisation and governance, and driving technical excellence across graph-based initiatives. You'll lead the development and optimisation of graph data pipelines, ensuring efficient ingestion, transformation, and integration of structured and semi-structured data into graph environments. This includes implementing batch and near real-time ingestion patterns, designing temporal and delta-based loading strategies, and ensuring high-performance query execution through indexing, partitioning, and distributed processing techniques. A strong understanding of graph algorithms, network analytics, and performance tuning is essential. Your expertise in graph engineering will extend across schema design, GSQL (or other graph languages) query development, graph algorithm implementation, and integration with enterprise data platforms and analytics ecosystems. You will work closely with IT, data engineering, and data science teams to embed graph analytics into broader data architectures, integrating APIs, messaging systems, event-driven pipelines, and orchestration frameworks to deliver end-to-end network analytics solutions. As a senior technical leader, you will mentor and uplift teams to build organisational graph capability, establishing standards, frameworks, and reusable patterns for graph adoption. You'll collaborate with a range of partners to translate business problems into network analytics strategies, articulate the value of graph technology, and align graph initiatives with enterprise objectives. This role offers the opportunity to shape the organisation's graph strategy, expand internal expertise in network analytics, and drive innovation through advanced graph engineering practices. We embrace the strength of diversity - through our people and the perspectives they bring. We are committed to inclusive recruitment practices and encourage applications from people with disability or neurodivergence, Aboriginal and Torres Strait Islander peoples, and individuals from all backgrounds. Reasonable adjustments can be provided throughout the recruitment process.
