Tech jobs
Job listings
Principal Data Engineer
Principal Data Engineer designs and builds scalable Azure-based data pipelines, sets engineering standards, and mentors teams to ensure high-quality, performant data infrastructure.
Azure Data Engineer
Lead the design and delivery of enterprise data platforms on Azure, building scalable ETL/ELT pipelines, data models, and analytics solutions for government stakeholders.
Data Engineer Lead
Lead a small team to design and maintain scalable data pipelines using Azure Databricks and dbt, implementing Kimball dimensional modelling and medallion architecture to build trusted data assets for analytics and AI initiatives.
Senior Data Engineer - Azure
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.
Azure Data Engineer: AI-Driven Pipelines & Governance
Build and maintain scalable Azure data pipelines using Microsoft Fabric or Azure Databricks, Python ETL/ELT, and collaborate with engineers and analysts in a hybrid Brisbane setup.
Senior Data Engineer
Senior Data Engineer builds and optimizes enterprise data pipelines and warehouses, writes SQL and ETL code, and leads technical implementations for a government agency supporting Australians with disability.
Data Engineer
Build and maintain secure data pipelines in Microsoft Fabric/Azure, curate trusted datasets for analytics, and implement governance and quality controls for an enterprise data platform.
Data Engineer
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Data Engineer, AI and Data, Technology Consulting
Design and build scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, and PySpark to enable AI, analytics, and reporting for EY’s clients.
Data Engineer
Builds and maintains reliable, scalable data pipelines and warehouses to feed analytics and AI teams, using ETL/ELT, cloud platforms, and SQL/Python.
Senior Data Engineer
Build and lead the data platform for a healthcare intelligence SaaS, owning ETL/ELT pipelines, PySpark frameworks, and AWS/Databricks infrastructure to deliver clean, auditable data for aged-care clients.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines, ETL workflows, and data lakehouse solutions using PySpark, Databricks, and Azure/AWS tools to deliver business insights for Toyota’s mobility operations.
Data Engineering Tech Lead — Azure Databricks
Lead a team to migrate legacy data warehouses to modern data products on Azure Databricks, designing scalable solutions and mentoring engineers.
Senior Data Engineer, GCP & Data Pipelines
Designs and builds scalable GCP-based data pipelines and cloud-native architectures for clients, using Databricks, Snowflake, Azure, and BigQuery.
Data Engineer
Design and maintain data pipelines and integrations in a large enterprise environment to enable reliable reporting and decision-making using Azure, Snowflake, and Python/SQL.
Data Engineer, AI and Data, Technology Consulting
Build and maintain scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, PySpark and dbt to power AI, analytics and reporting for enterprise clients.
Data Engineer for AI & Analytics Platforms (Hybrid)
Designs and builds scalable data pipelines using Databricks, Snowflake, and PySpark to power AI, analytics, and reporting for EY’s clients.
Data Engineer
Build and maintain Azure-based ELT pipelines and data architecture for a fintech lending platform, working closely with analysts and data scientists to support credit decisioning and analytics.
AI-Driven Data Engineer (Databricks + AWS)
Builds scalable, AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and ensuring cross-platform data governance for enterprise clients.
Data Engineer for AI & Analytics Pipelines (Hybrid)
Designs and builds scalable data pipelines for AI and analytics using Databricks, Snowflake, and PySpark to deliver clean, structured data for reporting and modeling.