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Senior AI Engineer designs and builds scalable AI systems for a retail data ecosystem, focusing on LLMs, agent frameworks, and cloud AI services while setting engineering standards and mentoring teams.
Senior AI Engineer designs and leads AI-first projects, writes production code, sets technical standards, and mentors engineers to scale AI across Wesfarmers' retail ecosystem.
Designs and builds scalable data pipelines and Lakehouse/Data Warehouse solutions on Microsoft Fabric and Azure for analytics and AI workloads.
Designs and maintains ETL/ELT pipelines and data lakes for a government transformation program, integrating on-premises and cloud systems while ensuring compliance and security.
Build and optimize Databricks/Azure data pipelines in Python and SQL to deliver analytics and AI solutions for a travel-focused company.
Designs and builds scalable GCP-based data pipelines, MLOps workflows, and cloud-native apps using Dataflow, Kubeflow, BigQuery, Python, and Django.
Designs and implements cloud-based data pipelines and systems for government clients, ensuring compliance and accessibility while improving development practices.
Build and optimize scalable data pipelines using Python (PySpark), SQL, Azure, and Databricks to deliver reliable data products for analytics and AI at a transport safety agency.
Build and maintain GCP data pipelines and MLOps frameworks using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Build and maintain AWS-based data pipelines and migrations using Redshift, PostgreSQL, Python, and SQL to ensure secure, scalable data delivery for analysts and engineers.
Senior data engineer builds and owns full-stack data platforms in AWS with Snowflake or Databricks, designing lakes, pipelines, and DataOps at enterprise scale.
Lead the migration of data systems to AWS and build scalable pipelines using Redshift, PostgreSQL, Python, and SQL while managing secure access for large teams.
Senior Data Engineer builds and operates Azure/Databricks pipelines that integrate fleet telemetry, maintenance systems, and predictive analytics to optimize heavy-equipment operations.
Design and build scalable data pipelines and Lakehouse/Data Warehouse solutions using Microsoft Fabric, Azure Synapse, and Databricks to enable analytics and AI workloads.
Leads design and implementation of data pipelines and systems using Azure SQL, Microsoft Fabric, and DevOps to improve data processing and integration for a government agency.
Design and evolve a Databricks Lakehouse platform for an AI-first company, defining Medallion layers, Unity Catalogue governance, and compute optimizations to power large-scale AI workloads.
Design and evolve a Databricks Lakehouse platform, owning architecture and modern data foundations with Databricks, Delta Lake, Unity Catalogue, Python, SQL, and PySpark.
Senior Data Engineer builds and maintains enterprise-scale data pipelines, warehouses, and lakes for a government digital transformation program, using SQL, Python, and cloud/on-prem platforms.
Design and build cloud-native data platforms that power AI-driven customer engagement and CRM solutions for a major Australian bank.
Build and deploy full-stack AI applications and agentic workflows for enterprise clients, turning ambiguous problems into production systems with measurable impact.
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