Top Data Engineer Jobs in Melbourne

The Software Developer - Data Engineer will build ETL packages, develop scripts, and automate processes while ensuring data security in cloud environments.

In this role, a Data Engineer will develop and maintain data pipelines, implement quality checks, enhance reporting processes, and collaborate with stakeholders.

Kogan.com seeks a Data & ML Engineer to develop data pipelines, support ML workflows, and ensure data integrity for eCommerce operations.

Design and implement scalable data pipelines and data warehouse solutions, transforming data for Snowflake and ensuring data quality and integrity while optimizing performance.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

The Principal Data Engineer will design and deliver scalable data architectures, optimize data pipelines, and guide clients in data management strategies. Responsibilities include technical leadership, collaborating with teams, and translating complex concepts for diverse audiences.

The Data Engineer will design, build, and manage scalable data pipelines on GCP, ensuring data quality and operational excellence while collaborating with data teams.

As a Data Engineer, you will build data pipelines, unify client data from diverse sources, and create ETL processes while collaborating with various stakeholders.

The role involves owning the data platform, developing and maintaining ETL/ELT pipelines, optimizing SQL queries, and supporting AI initiatives while ensuring data security and providing visualization via tools like Power BI and Grafana.

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 Senior Data Engineer, you'll design and build scalable data pipelines, maintain data warehouse solutions primarily using Snowflake, and implement data transformation workflows with dbt. You'll also ensure data quality and collaborate with a cross-functional team.

As a Senior Data Engineer, you will design and operate data architecture, build data pipelines, collaborate with data scientists, and ensure data quality and governance.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Staff Software Engineer will lead the technical vision for streaming-native data movement, develop configuration frameworks, consult across teams, and enhance data movement practices at Canva.

The Staff Software Engineer will optimize and redefine the data platform workflow, transitioning to AI-native analytics, measuring impacts, and improving user experience through leadership and innovation in engineering and architecture.

As a Senior Data Engineer at Jetstar, you will design and maintain cloud data platforms, ensure data quality, governance, and security, and mentor peers while influencing data architecture and engineering practices.

The Sr Data Engineer will optimize and refactor data pipelines, manage data ingestion from APIs, and support product engineering teams. Responsibilities include design best practices, enhance the modern data stack, and troubleshoot data issues, ensuring resilience and operational excellence.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Lead design, development, deployment, and continuous improvement of cloud-native data and analytics solutions on Azure. Act as a hands-on technical lead building scalable, secure end-to-end data platforms using Spark/Databricks, Python/PySpark, and orchestration tools. Ensure CI/CD, DevOps, automation, code quality, mentor team members, resolve complex technical issues, and collaborate with stakeholders and vendors to drive platform evolution.

Build, deploy, and support cloud-native data and analytics solutions on Azure. Design and maintain data pipelines, ingestion, transformation and integration processes using Apache Airflow. Ensure data quality, monitoring, CI/CD and infrastructure-as-code. Troubleshoot platform issues, collaborate with cross-functional teams, and contribute to platform improvements and documentation.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Data & Analytics Engineer will integrate data stacks with products, build reports and dashboards, and enhance customer experience using AI-driven insights.

The Data Engineer will design and optimize data pipelines, develop data architecture, and ensure data quality for migration projects across the organization.

The Principal Engineer, Data & Platforms role involves overseeing the enterprise data platform, driving architecture and performance, and embedding AI capabilities while ensuring security, governance, and compliance.

As a Senior Data Engineer, you will design and build scalable data products, maintain data pipelines, ensure data quality, and mentor junior engineers in a collaborative environment.