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Engineer closure plans for a mining site by integrating rehabilitation, civil engineering, and data analytics using Power BI and SQL to create dashboards and improve data accessibility.
Build and maintain secure data warehouses and pipelines in Azure, integrating court data sources to power Power BI reports and Power Apps for Victorian justice agencies.
Build and maintain AI-driven data pipelines and cloud data warehouses using Snowflake, Databricks, dbt and Airflow to power property and mortgage analytics.
Build real-time data pipelines and ML workflows on AWS to power AI-driven customer experience features, integrating LLMs and agentic systems for workforce management.
Design and maintain scalable data pipelines on AWS using Glue, EMR, and Athena, with PySpark and SQL for transformations and DevOps practices via Terraform and GitLab.
Designs and optimizes AWS-based data pipelines using Python, PySpark, Airflow, and Redshift/S3/DynamoDB/Snowflake for batch and real-time analytics.
Build and optimize AI/ML and data pipelines for a sensor-fusion system, focusing on real-time processing, CI/CD, and MLOps to support an autonomous team in Sydney.
Leads climate projection data delivery and analysis for WA’s Climate Science Initiative, designing solutions with complex climate datasets to inform adaptation policy.
Lead a financial reconciliation platform using AWS, ensuring accurate data processing and quality for a major Australian bank.
Principal AI/Data Engineer designs and builds enterprise-scale data and AI solutions on Databricks and cloud platforms, while leading client engagements and translating complex tech into business value for executives.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for a financial client, migrating Synapse workloads to Delta Lake and creating scalable data ingestion frameworks.
Senior engineer building and running large-scale data migration systems for financial clients, executing weekend migrations and a Tuesday-Saturday schedule.
Senior Data Engineer builds and optimizes cloud data platforms and pipelines for utilities and asset-heavy clients using Azure, Azure Data Factory, and Microsoft Fabric.
Build and maintain Kafka-based event-driven pipelines and data ingestion systems for a trading environment, integrating market data, risk, and valuation systems.
Build and maintain GCP-based data pipelines and observability tooling to keep Correlate Resources’ data services reliable and scalable.
Designs and builds enterprise-scale data pipelines, warehouses, and BI dashboards to support university-wide analytics and reporting.
Build and maintain a Snowflake-based cloud data platform and scalable pipelines to deliver fast, reliable insights for Jetstar’s business decisions.
Designs and secures Azure-based data platforms using Databricks, Python, SQL, and Terraform, while implementing governance and automated testing for data pipelines.
You’ll design and implement big-data pipelines on Databricks for clients, troubleshoot issues, and guide teams to turn raw data into actionable insights while managing customer engagements.
Leads Azure data engineering and governance projects, designing scalable solutions with Azure Data Factory, Synapse, Databricks, and BI tools while overseeing delivery and architecture.
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