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Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML for fintech brands serving Australians.
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Build and maintain data pipelines that connect lab instruments, production systems, and experimental data to enable reliable, scalable data flows for a biotech innovator focused on sustainable materials.
Designs secure data pipelines and transforms GEOINT datasets to support AI-driven analytics for Army intelligence operations.
Lead a team of data engineers to build and maintain AI-ready data platforms using Python, SQL, Snowflake, dbt, Airflow, and Databricks, while coaching engineers on data science principles.
Lead the design and implementation of a modern cloud-native data and AI platform for a large healthcare provider, integrating real-time IoT, generative AI, and self-service analytics to transform patient care and operational efficiency.
Designs data pipelines and reusable tools to make ecommerce content AI-ready, integrating it with product data for better search and personalization.
Build and maintain scalable data pipelines on Snowflake to power healthcare analytics and interoperability, using SQL, Python, and modern data engineering tools.
Design and implement AWS-based data pipelines and analytics solutions for clients, building dashboards and reports to drive business decisions.
Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.
Design and build data pipelines and cloud-based architectures to power analytics and reporting for Australia’s largest independent media company.
Design and build data pipelines and maintain an Enterprise Data Warehouse for an insurance company using Snowflake, DBT, AWS, and SQL.
Lead the design and delivery of enterprise data platforms on Azure, building scalable ETL/ELT pipelines, data models, and analytics solutions for government stakeholders.
Senior Data Engineer builds and maintains enterprise-scale data pipelines in Python/PySpark, deploys ML models, and designs Azure-based data platforms for analytics and GenAI use cases.
Design and build scalable data pipelines on Google Cloud Platform using BigQuery and Dataflow to enable analytics and reporting for enterprise clients.
Senior Data Engineer designs and builds scalable data platforms for an automotive company, mentoring teams and collaborating with data scientists and analysts.
Build and maintain Snowflake-based data pipelines and analytics for scientific clients in mining, energy, agriculture, healthcare and infrastructure.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Builds data pipelines and BI dashboards to track mine-closure progress, turning engineering plans into measurable rehabilitation outcomes.
Builds and maintains data pipelines that feed marketing systems, automating data flows between platforms while ensuring governance and privacy compliance.
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