Top Data Engineer Jobs in Melbourne

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.

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.

Design, build and maintain ETL pipelines and data warehouse solutions on Snowflake. Implement data models and transformations using SQL, Python and DBT. Work with Azure cloud services, engage stakeholders, and deliver data platform solutions in a consulting/client-facing environment.

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

As a Data Engineer at Intelligen, you'll design and deliver scalable data solutions across multi-cloud environments, developing data models and collaborating with clients to address data challenges.

The Data Engineer will support and maintain data platforms, troubleshoot ETL issues, and optimize data warehouse performance in cloud environments.

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

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

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.

Lead design and delivery of enterprise-scale Azure data platforms. Architect ADF pipelines, Snowflake data models, and dbt transformations. Provide technical leadership, mentor engineers, implement data quality/lineage/governance, and engage stakeholders to translate business needs into scalable solutions.

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

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

This role involves building and optimizing AI platform services, ensuring reliability and compliance, and collaborating with data scientists to deploy models effectively.

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.

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.

As a Software Engineer, you'll develop and maintain data acquisition pipelines, ensuring quality and performance in data integration. You'll work on both batch and streaming ingestion while collaborating across domains.

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

As a Senior Data Engineer, you'll design and transition data platforms, optimize performance, support data accessibility, and collaborate widely across teams.

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 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.