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Senior Data Scientist, AI/ML and Anomaly Detection
Leads AI/ML anomaly detection for a government financial oversight project, designing explainable models to flag fraud and waste in transaction data using Python, SQL, and Azure cloud tools.
Senior Data Engineer (AI Data Platform)
Build and optimize a production-scale data platform for AI products using Snowflake, dbt, Airflow, SQL, and Python to improve performance, reliability, and cost efficiency.
Senior Analytics Engineer
Build and scale the analytics stack for a high-growth SaaS company, using dbt, Snowflake, Python, and Airflow to turn raw data into trusted metrics and AI-ready infrastructure.
Product Manager, Data Orchestration
Owns the product lifecycle for data orchestration, defining features that make data pipelines easier to build, monitor, and scale across tools like Airflow, dbt, and Snowflake.
Enterprise Data Analyst
Build and optimize enterprise data pipelines and dashboards using Snowflake, dbt, Python, and Power BI to turn raw data into actionable business insights.
Principal Solution Architect, Managed Services
Design and lead large-scale cloud-native data platforms for global enterprises using Snowflake, AWS, Azure, and Databricks, while advising clients and mentoring engineering teams.
Principal Architect, Data & AI
Principal Architect leads enterprise-scale data and AI engagements, unifying delivery across engineering, visualization, governance, and AI while maturing the practice with standards and accelerators.
AI Data Engineer
Build and maintain scalable data pipelines and AI agents using Azure Databricks, Python, and SQL to power analytics and automated workflows in a modern engineering environment.
Manufacturing Solutions Architect
Design and document scalable manufacturing technology solutions, bridging IT and operational systems to support digital transformation in consumer food manufacturing.
Forward Deployed AI Engineer
Build and deploy enterprise-grade AI/ML solutions with customers, moving prototypes to production while advising on GenAI strategies and scalable architectures.
Engineering Manager, Data Platform & ML Ops
Lead a team building scalable data platforms and ML operations to power analytics and intelligent products, guiding architecture and best practices in a fast-moving environment.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data platforms using Python, SQL, Airflow, and Redshift, focusing on dimensional modeling and cloud migrations for a fintech environment.
Senior Data Engineer
Build and maintain cloud-based ETL/ELT pipelines in Azure and Databricks, design scalable data models, and operationalize AI/ML models while ensuring data quality, governance, and security.
Senior Data Engineer for AI
Senior Data Engineer builds AI-ready data pipelines and semantic models to power AI agents and automation for Air New Zealand’s operations and customer experience.
AI Data Platform Engineer
Build and maintain AI-ready data pipelines and semantic models in Snowflake/AWS to power GenAI agents and automation across Air New Zealand’s operations.
Senior AI Engineer
Build and deploy production-grade Generative AI services in Python, integrating LLMs, agents, and vector databases to power personalised travel experiences and smarter operations at Air New Zealand.
Lead Data Analytics Platforms | Perth, Brisbane
Lead a team to design, build, and improve BHP’s core data and AI platforms, enabling scalable, self-service analytics and AI solutions for business decision-making.
Director, Data Platform
Leads architecture and engineering of a healthcare-focused data platform, building scalable pipelines, warehouses, and AI-driven analytics to support clinical and business insights in a remote-first environment.
Director, Client Data Science
Lead a team building AI-enabled analytics and automation for healthcare client reporting, transforming complex data into scalable insights for renewals, RFPs, and strategic growth.
Senior AI Engineer
Design and deliver AI-ready data products and intelligent solutions for Air New Zealand, building scalable cloud pipelines, semantic models, and AI agents to automate and enhance aviation operations.