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Lead a team of data engineers to design and modernize cloud-based data pipelines and architectures for a lottery/SaaS company, migrating from legacy systems and ensuring governance, security, and scalability.
Lead a data engineering team to design and build scalable Azure Databricks pipelines for ETL, data modeling, and cloud analytics in a financial-services context.
Senior Data Engineer builds and maintains RACV’s Snowflake-based enterprise data platform, designing scalable ELT/ETL pipelines and data models to turn raw data into trusted insights for business decisions.
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
Graduate Data Engineer role building cloud-based data pipelines and analytics solutions using Microsoft Fabric, Python, SQL, and Power BI in a two-year program.
Build and scale GCP-based data pipelines and BigQuery models to process petabyte-scale data, enabling analytics and ML across enterprise systems using Dataflow, Pub/Sub, and Composer.
Senior Data Engineer building enterprise data warehouses, lakes, and ETL/ELT pipelines for a NSW government transformation program, enabling analytics and AI/ML across on-prem and cloud.
Design and build scalable Azure-based data pipelines and lakehouse architectures to power enterprise reporting, analytics, and AI initiatives using Azure Data Factory, Microsoft Fabric, and Power BI.
Build and deploy computer-vision and generative-AI models to track construction progress, validate claims, and improve site visibility for large firms.
Design and build scalable data pipelines and analytics solutions on Azure Databricks to power Tennis Australia’s data warehouse and reporting systems.
Lead the design and architecture of a cloud-based big data platform, setting engineering standards and guiding DataOps practices for a product-focused company.
Build and maintain a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt, SQL and PySpark.
Build and automate real-time data pipelines for ASX’s derivatives clearing systems, curating core data assets into consumable APIs and reports on AWS.
Designs and maintains secure Azure Fabric data pipelines and Power BI semantic models to deliver trusted datasets for analytics and reporting in Brisbane.
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Lead a team to design, build, and deploy AI/ML models and data pipelines that support clinical and operational decisions in a healthcare setting using Python/R and visualization tools.
Build and deploy ML models to improve fintech products, turning data insights into decisions with Python, R, and cloud tools.
Lead the design and implementation of machine learning models and analytics to shape workforce development strategies using Python, TensorFlow, and SQL.
Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
Builds and maintains data pipelines and dashboards for anti-corruption reporting using SQL, ETL, and BI tools like Power BI or Tableau.
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