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Builds and tests AI-powered data-enrichment features in a Java/Python/React stack, ensuring robust processing of unstructured documents for Nuix’s Enrich product.
Lead Data Engineer builds and optimizes scalable ETL pipelines and Teradata data models for a large Australian government agency’s cloud data platform.
Build and maintain scalable Azure data pipelines for a financial-services client, ensuring robust infrastructure and performance.
Design and run enterprise-wide test environments and test data pipelines for healthcare systems, integrating tools like Enov8 and Azure DevOps.
Configure PLM/CAD systems, build BOM structures, and implement engineering change processes for a climate-tech hardware startup scaling toward production.
Develop and maintain Python-based software for quantum hardware data acquisition and analysis in Sydney.
Builds and maintains a modern Azure-based data lakehouse for government analytics, using SQL and Python to process and transform large datasets.
Design and build scalable data pipelines across AWS, GCP, or Azure using Databricks, Snowflake, and dbt to enable analytics and AI solutions for enterprise clients.
Builds and maintains data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Cloud Storage with Python and SQL.
Configure and maintain PLM/CAD systems, BOM structures, and engineering change processes for a green-hydrogen startup, ensuring seamless data flow from design to manufacturing.
Commonwealth Bank of Australia (CommBank) is seeking a Staff Software Engineer for the Customer Channel, Data & AI domain in Sydney or Melbourne. You will influence architecture, build scalable cloud-native…
Lead the design and deployment of agentic AI systems for enterprises, architecting LLM-driven agents and shaping platform direction while mentoring engineers.
Design and maintain data pipelines and build a data platform to enhance analytics and insights for a neurological care organization using Python and SQL.
Lead the design and deployment of advanced LLM-driven agentic AI systems for enterprise workflows, setting technical standards and mentoring teams to build robust, autonomous AI co-workers at scale.
Build and refine the core AI-powered matching engine that connects researchers with 4M+ participants, using semantic search, ranking algorithms, and pragmatic ML to improve relevance and conversion.
Builds LLM-powered applications and graph-database pipelines in Python for enterprise clients, collaborating with Big 4-aligned teams.
Build and maintain Python-based data platforms and pipelines for a global trading firm, focusing on scalable backend services and real-time data processing.
Lead a small team to design and maintain scalable data pipelines and warehouses using Azure Databricks, dbt, and Kimball dimensional modelling to support analytics and AI initiatives.
Design and build scalable Google Cloud data pipelines using BigQuery, Dataflow, and Pub/Sub to process large datasets and enable data-driven insights.
NCS Australia is seeking experienced AWS Data Engineers to support large-scale cloud transformation projects. You will migrate data from legacy systems to AWS, build robust data pipelines, and enable scalable analytics…
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