Top Data Engineer Jobs in Melbourne

As a Principal Software Engineer, you'll lead diverse teams to enhance software quality, foster engineering excellence, and align technical decisions with strategic goals.

As a Data Engineer, you'll design and maintain the enterprise data platform, develop data pipelines, and ensure efficient data processing.

Lead a migration project to a modern data platform as a Senior/Lead Azure Data Engineer, overseeing delivery and mentoring engineers.

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 Azure Data Engineer will manage data systems, optimize SQL queries in Snowflake, implement DBT models, and contribute to cloud migration efforts.

The Principal Cloud Data Engineer will lead data initiatives, shape strategies, and implement end-to-end cloud data solutions, focusing on data governance and AI-driven decisions.

The Senior Data Migration QA Engineer will ensure quality assurance for data migration projects, design test scenarios, build SQL scripts, and communicate effectively with stakeholders.

As a Data Engineer, you will design and maintain scalable data solutions and pipelines, ensuring compliance and optimizing data governance within the Microsoft ecosystem.

As a Senior Data Engineer, you will build AI agents and data solutions, work with AWS and Big Data technologies, and enhance data capabilities across platforms.

As a Senior Data Engineer, you'll design and implement data solutions on AWS, focusing on AI-driven platforms and optimizing data governance.

As a Senior Data Engineer, you will design and implement cloud-based data solutions, focusing on AWS technologies, data integration, and automation workflows. You'll collaborate with stakeholders on data strategies and enhance engineering processes with AI technologies.

The role involves designing scalable data pipelines and cloud data solutions, supporting reporting and analytics functions within cross-functional teams.

The Data Engineer role involves developing data warehousing solutions, managing ETL processes, and utilizing Azure and Snowflake in a collaborative environment.

The Staff Data Engineer will lead projects in data architecture and engineering, mentor team members, and collaborate within an agile environment to enhance property data solutions.

As a Staff Data Engineer, you'll architect scalable ETL pipelines, enhance data governance, and drive strategic data initiatives while collaborating with stakeholders and mentoring engineers.

As a Senior Data Engineer, you will design and implement data solutions on AWS and Hadoop platforms, mentoring junior engineers and collaborating across teams.

The Data Platform Engineer role involves delivering data projects, managing ETL processes, and ensuring client needs are met with robust data solutions.

The Senior Data Engineer will design and improve data models, develop data pipelines, collaborate with stakeholders, and implement best practices in data engineering.

The Junior Data Engineer will assist in building data pipelines, ensuring data quality, and collaborating with stakeholders to develop data solutions, while learning from senior engineers.

The Staff Data Engineer will architect data lake platforms, drive platform evolution, and mentor engineers while collaborating with product teams on data solutions.

As a Senior Data Engineer, you'll own Blinq's data analytics infrastructure, maintain analytics tools, ensure data accuracy, and support data-driven decisions in a hybrid work setting.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

As a Senior Data Engineer/Analyst, you'll deliver data solutions in compliance-driven initiatives, using tools for insights and performance enhancement.

The Staff Data Engineer will lead Blinq's data engineering infrastructure, optimize data pipelines, ensure data quality, and collaborate with teams to align data systems with business goals.

The Software Engineer will manage data ingestion for AI model training, improve cloud infrastructure, and collaborate with the team on data strategies.