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The Senior Data Engineer will design, develop, and maintain enterprise data integration solutions and ETL processes for a Federal Government entity. The role requires hands-on development, technical leadership, and proficiency in cloud platforms like AWS and data warehousing technologies.
This role involves designing and maintaining scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The engineer will build data models, implement quality controls, and ensure data governance for enterprise-level solutions.
The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform, focusing on big time-series data. The role involves working with cloud-based data warehouses, ETL/ELT processes, and distributed systems to support advanced analytics.
The Senior Data Engineer will design, build, and maintain enterprise-scale data pipelines and infrastructure to support analytics and AI initiatives. The role involves managing Kubernetes environments and collaborating with stakeholders to ensure data reliability and security within a healthcare context.
The Lead Data Engineer will design, build, and maintain enterprise-scale data platforms on Microsoft Azure to support advanced analytics. The role involves optimizing ETL/ELT processes, ensuring platform reliability, and collaborating with cross-functional teams using technologies like Azure Data Factory, Databricks, and Synapse Analytics.
The Data Engineer will design, build, and maintain data ingestion pipelines and curated datasets using Snowflake, Python, and SQL. This role focuses on supporting the company's data platform and AI-facing data foundations while utilizing AI-assisted tooling for development.
Data Engineer building ETL/ELT pipelines on Azure Databricks using SQL, Python, Scala, or Java, with a focus on data modeling, orchestration, quality, and CI/CD practices.
Senior Data Engineer designing and building scalable end-to-end data pipelines on AWS using Glue, PySpark, Python, S3, Athena, Redshift, and Airflow.
Data Engineers on 12-month contracts designing enterprise-scale ELT/ETL pipelines and Lakehouse architectures using Databricks, PySpark, and Azure for a government environment and climate-focused organisation.
Design and build end-to-end analytics solutions using Microsoft Fabric in Azure, including Lakehouse architectures and secure data pipelines for government reporting.
Data Engineer on contract supporting and enhancing a Microsoft Fabric data analytics platform, managing the migration from Azure SQL EDW to Fabric, and working with Azure Data Factory, GitHub, and DevOps for a utilities organisation in Brisbane.
This role involves migrating Hadoop-based data workloads to AWS and Snowflake within a banking environment. The engineer will build and maintain scalable data pipelines, implement security controls, and optimize cloud data performance.
This Senior Data Engineer role involves leading a migration from AWS to Databricks while maintaining existing AWS workflows. The position requires hands-on expertise in Python, SQL, and cloud-native engineering to design and implement scalable data solutions.
Build GCP data pipelines using Dataflow and Apache Beam Deliver MLOps, Kubeflow and AI/ML platform solutions Develop Python, Django, REST APIs and CI/CD automation Build GCP data pipelines using Dataflow and Apache…
Data Engineers will design and build ingestion pipelines and data transformations on Snowflake and AWS for a university's HR data transformation program. The role involves working with Talend and adhering to established architectural frameworks to deliver governed data solutions.
The Senior Data Engineer will design and optimize scalable data pipelines using Azure Databricks, Apache Spark, and Azure Data Factory. The role focuses on building data solutions for the financial sector while ensuring strict adherence to data governance and security standards.
This Senior Data Engineer role involves delivering scalable data solutions within the Databricks ecosystem while mentoring the internal team. The position is a 12-month contract based in Perth focused on a major data transformation program.
The Lead Data Engineer will design and deliver scalable data solutions on Microsoft Azure, building data pipelines and mentoring team members to support enterprise analytics and AI initiatives. This is a hands-on contract role requiring expertise in cloud data architecture and modern data engineering practices.
The Data Engineer will design and maintain scalable data infrastructure and pipelines to support real-time and batch analytics for mining operations within the LANDCROS Connect Insight platform.
The Senior Data Engineer will design, build, and maintain scalable enterprise data pipelines and cloud-based data platforms using PySpark, Python, SQL, and Azure Data Factory. This role involves integrating complex business systems and partnering with data scientists to operationalize machine learning models and AI initiatives.
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