Top Data Engineer Jobs in Melbourne

Design and deliver scalable multi-cloud data solutions using Databricks/Snowflake and modern data stacks. Build ingestion, transformation, modelling and access layers, implement dbt and CI/CD, ensure data quality, governance and lineage, support analytics and AI enablement, and consult directly with clients while mentoring junior engineers.

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.

Seeking a Senior Data Engineer to design and deliver data solutions in a hybrid work environment, focusing on large-scale projects and collaboration with teams.

This role involves sourcing audio data, managing cloud infrastructure, collaborating on data processing workflows, and contributing to dataset roadmaps.

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

The Senior Data Engineer will lead the design and delivery of scalable data platforms on Azure or AWS, manage data pipelines, and provide technical leadership in a consulting environment.

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

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 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 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.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.