Top Data Engineer Jobs in Melbourne

The Senior Engineer role focuses on database consulting, support, and infrastructure modernization, guiding teams on database design, migration, and performance optimizations.

The Senior Azure Data Engineer will lead the design and delivery of enterprise data platforms, manage architecture decisions, and ensure effective stakeholder communication.

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

Design, build and operationalise a governed enterprise data foundation and reusable data products to support analytics, AI and downstream applications. Ensure data quality, lineage, auditability and regulatory compliance while collaborating with engineers, architects, data owners and stakeholders.

Seeking Data Engineers to modernize data platforms, optimize existing Snowflake datasets, and contribute to solution design and technical decisions in a consulting environment.

The Data Engineer develops and maintains data products, pipelines, and SQL queries, focusing on quality and scalability. Responsibilities include operating data tools primarily on AWS and Databricks, collaborating on project delivery, and providing user support.

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

The role involves implementing and supporting Adobe Experience Cloud solutions while collaborating with various teams to enhance digital analytics capabilities and customer satisfaction.

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

The Customer Data Engineer will manage data integration for utility customers, ensuring data onboarding efficiency, providing feedback, and improving internal tooling.

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

The Senior Data Engineer will design and build scalable data pipelines on Microsoft Azure and Snowflake, contributing to the enterprise data architecture and collaborating with teams on data solutions.

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.

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.

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.

The Senior Technical Solutions Engineer leads design and technical development for customer engineering solutions, supports pre-sales opportunities, and collaborates with internal teams for effective delivery and client engagement.

As a Staff Machine Learning Engineer, you'll design and operate AI infrastructure, focusing on MLOps practices, security, and collaboration with data scientists to deliver scalable AI features.

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

The Software Engineer will manage data collection for model training, enhance the ingestion pipeline, and collaborate with the AI team on data strategy.

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.

The Senior Data Engineer will architect scalable data pipelines, lead data infrastructure development, collaborate on data initiatives, ensure governance compliance, and mentor engineers while driving innovation.

The Staff Data Engineer designs and operates scalable data platforms, leads technical practices, and enhances delivery performance within the AI & Analytics Data Products team.

Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, own the full release pipeline, investigate and resolve production issues (including on-call), and build automation and tooling to make large-scale database operations safer and repeatable while collaborating with core database and cloud infrastructure teams.

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