Top Data Engineer Jobs in Melbourne

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

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.

Lead the design and optimization of the enterprise data platform, overseeing development, ensuring scalability and compliance, mentoring junior engineers, and enhancing capabilities with emerging technologies.

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

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.

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 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.

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 Staff Data Engineer, you will design and deliver data platforms, oversee data outcomes, and support finance risk and treasury initiatives. You will utilize AWS Cloud and data engineering expertise to enhance digital banking solutions.

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 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.

The Principal Engineer will oversee solution architecture and design, collaborate with data teams, drive best practices in data management, and mentor engineers. They will align technical strategies and contribute to data platform roadmaps.

The Senior Data Engineer will build a unified data platform, develop pipelines, ensure data quality, and champion governance while collaborating with cross-functional teams.

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

The role involves provisioning network devices and servers, troubleshooting issues, collaborating on standards and automation, and supporting infrastructure deployment for Fastly's CDN.

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