Top Data Engineer Jobs in Melbourne

The Software Developer - Data Engineer will build ETL packages, develop cloud environments, automate IT processes, and analyze risks for data solutions while collaborating with stakeholders.

The Data Engineer will design, build, and maintain ETL/ELT data pipelines, manage the enterprise data lake, and ensure quality data for analytics at HCA.

As a Data Engineer, you'll build data pipelines, maintain data models, and support analytics for product and finance teams while collaborating with stakeholders and improving data quality.

As a Data Engineer, you'll build scalable data pipelines, collaborate with marketing teams, ensure data quality, and optimize existing infrastructure to support analytics.

Seeking Data Engineers to modernize data platforms, optimize existing Snowflake datasets, and contribute to solution design and technical decisions in a consulting environment.

As a Data Engineer, you will enhance and maintain data platforms, design data pipelines, and monitor performance while collaborating with stakeholders to manage data responsibly.

As an AWS Data Engineer, you will design and maintain data pipelines, manage ETL processes, and ensure data quality while collaborating with stakeholders for data analysis and reporting.

As a Data Engineer at Intelligen, you'll design and deliver scalable data solutions across multi-cloud environments, developing data models and collaborating with clients to address data challenges.

The Data Engineer will develop and maintain ETL/ELT pipelines, design Snowflake data warehouses, and implement solutions using Azure cloud services, Python, and SQL.

Design and build data pipelines to migrate legacy data to Snowflake, optimize ETL processes, and ensure data quality through monitoring and troubleshooting.

The Data Engineer will build and scale data infrastructure, design data processing systems, and collaborate with teams to optimize data quality and performance using various GCP technologies.

As a Staff Machine Learning Engineer, you'll design and operate AI infrastructure, focusing on MLOps practices, security, and collaboration with data scientists to deliver scalable AI features.

The role involves designing and optimizing data pipelines for migrating data from Salesforce to Snowflake, ensuring data quality and efficiency.

As a Senior Data Engineer, you will design and implement data transformation pipelines, gather business requirements, and work with various big data technologies.

As a Data Engineer, you will design, build, and maintain data platforms using Azure Data Factory, dbt, and Snowflake to ensure data quality and support integration.

As a Staff Data Engineer, you'll build advanced data solutions on AWS, focusing on Data Mesh and AI, while ensuring data governance and security.

As a Software Engineer, you'll develop and maintain data acquisition pipelines, ensuring quality and performance in data integration. You'll work on both batch and streaming ingestion while collaborating across domains.

The Data Engineer Consultant develops data models, designs ETL processes, analyzes data sources, and collaborates on analytics requirements to enable data-driven decision-making.

The role involves designing and building data models for analytical insights, optimizing queries, and collaborating with data scientists on production models.

The Principal Engineer, Data will lead data architecture and engineering strategy, ensuring alignment across multiple teams, improving data pipelines, and mentoring engineers.

As a Data Platform Engineer, you'll enhance the data platform, support analytics engineers, and optimize data processing workflows, focusing on sustainability in energy systems.

The Software Engineer will manage data collection for model training, enhance the ingestion pipeline, and collaborate with the AI team on data strategy.

The Staff Data Engineer will lead data engineering practices, optimize data pipelines, ensure data quality, collaborate across teams, and document processes.

The Staff Data Engineer designs and builds scalable data platforms, leads technical practices, and collaborates with various teams to deliver insights and enhance the user experience at SEEK.

The Lead Data Engineer role involves developing scalable data solutions, managing a team, and ensuring effective delivery of data products while aligning with architectural guidelines.