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Pillow Talk Australia is seeking an Integration Specialist for our Darra Head Office in Brisbane. You will design, build, support and govern integration solutions connecting core business systems, partnering with…
Amazon Corporate Services Pty Ltd in Australia is seeking a Field Engineer to lead data center fit-outs and upgrades. You will review designs, troubleshoot and document corrective actions, and support operations with…
Senior Full-Stack Java Engineer with banking background developing Java-based applications, focusing on full-stack engineering and data-centric solution design, including data modelling, data engineering, and system integrations for banking sector.
Design, develop, and implement Azure-based infrastructure for data and analytics workloads using Terraform, Databricks, and Microsoft Fabric, supporting advanced AI/ML operations in a federal government environment.
The Commons is seeking a Platform & Integration Engineer to build the technology foundation that connects our business. You’ll design and build the integrations, APIs, data pipelines and internal tools that sit…
Design data and AI architectures for enterprise clients across Microsoft, AWS, and modern data platforms during presales, translating business requirements into scalable, secure solutions.
Senior Designated Engineer providing high-touch technical support and tailored solutions for Databricks' top Digital Native Business customers, triaging complex Spark and data platform issues, building POCs, and training teams on performance tuning.
Amazon Corporate Services Pty Ltd in Australia seeks a Structural/Architectural BIM Designer to design and maintain BIM models for AWS data centers. You will use Revit to create structural and architectural models,…
Senior Analytics Engineer designing and building scalable data products, semantic layers, and analytics-ready assets using Azure, Databricks, and dbt to support enterprise decision-making at a university.
Senior Analytics Engineer building trusted, scalable data products in an Azure, Databricks, and dbt environment at a university, focusing on data modeling, semantic layers, and analytics-ready assets.
Lead data engineering using MS Fabric and Azure to own end-to-end data platforms, architecture, and governance, while guiding cross-functional teams in analytics, BI, and automation initiatives.
Analytics Engineer responsible for designing and building data pipelines, models and products using Snowflake, dbt, Fivetran and Snowpark to support business reporting across Finance, Sales, Marketing and Operations.
Build data pipelines, develop ML models, and deploy production solutions for retail forecasting, inventory, and ecommerce in an on-site role collaborating with cross-functional teams.
Leads end-to-end data platform strategy, governance, and optimization for an enterprise, focusing on Microsoft Fabric, Azure Synapse, and related tools to modernize data infrastructure, ensure scalability, and deliver actionable insights for business stakeholders.
Designs and implements large-scale cloud-based data platforms, pipelines, and architectures for client digital transformation, focusing on ETL/ELT, cloud infrastructure, and DevOps automation.
Senior Data Engineer responsible for modernising a legacy MS SQL Server platform to AWS-native services (Aurora PostgreSQL, AWS Glue, Redshift), owning data ingestion, transformation, modelling and reporting with CI/CD for data pipelines.
Hands-on data engineer building secure, scalable Snowflake data products and pipelines in a regulated banking environment, owning end-to-end development with a focus on CI/CD, governance, performance, and cost optimization.
Senior Data Engineer designing and building scalable data pipelines and transformation workflows using Databricks or Snowflake with dbt, following ELT and medallion architecture patterns for enterprise data platforms.
Forward Deployed Software Engineers collaborate with customers to architect data-driven solutions, work in small teams on end-to-end projects from design to deployment, and travel to client sites as needed.
Design, build, and optimize scalable data pipelines on Google Cloud Platform, including data lakes, data warehouses, and ETL/ELT workflows orchestrated with Airflow or Cloud Composer.
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