Top Data Engineer Jobs in Melbourne

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 Principal Data Engineer will architect cloud-native platforms, oversee model execution and data management while ensuring compliance with regulatory standards in a high-performing team.

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

As a Data Engineer, you will design and maintain geospatial data pipelines while improving dataflows in secure environments, collaborating with teams and mentoring juniors.

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

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

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

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

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

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.

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.

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.

As a Senior Software Engineer on the Data Platform team, you will design infrastructure, ensure system reliability, and build compliance tools while contributing to the development lifecycle and tackling integration challenges.

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.

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 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.

The Senior Geospatial Data Engineer is accountable for designing and improving geospatial dataflows, ensuring data quality and compliance while leading a team in a secure environment.

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

As a Staff Data Engineer, you'll design and build advanced data platforms and pipelines, ensuring security and compliance while delivering high-quality data products using AWS technologies.

The Senior Data Engineer will develop and maintain data pipelines, define common data standards, integrate data systems, and collaborate with cross-disciplinary teams to enhance data governance and platform scalability.

Design, build, and maintain data pipelines and APIs, lead technical discussions, resolve data quality issues, and mentor engineers.

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.

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

The Senior Data Engineer/Consultant will lead data engineering projects, ensuring high-quality technical outcomes using Databricks, while mentoring team members and collaborating with clients.