Top Data Engineer Jobs in Melbourne

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 the design and optimization of the enterprise data platform, overseeing development, ensuring scalability and compliance, mentoring junior engineers, and enhancing capabilities with emerging technologies.

The role involves designing and optimizing data pipelines for migrating data from Salesforce to Snowflake, ensuring data quality and efficiency.

As a Software Developer/Data Engineer, you will build ETL packages, develop cloud solutions, automate IT processes, and conduct client consultations for data solutions.

The Data Engineer will design data pipelines, create data models, and harmonize data for business insights while collaborating with teams to ensure solutions fit architectural requirements.

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

As a Data Engineer, you will develop production-level data processing systems, configure Quantexa software, and collaborate with clients on data challenges. You'll need to write efficient code and manage high-volume data for various industries.

The Data Engineer Consultant will design, build, and maintain scalable data pipelines, focusing on large-scale data processing, compliance, and data governance using modern technologies.

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 design, build, and maintain data pipelines and integrations for Tyro's Data & AI Platform, ensuring data quality and compliance while supporting AI initiatives and operationalizing machine learning models.

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

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

As the founding Data Engineer, you will design and optimize data pipelines for automotive data, ensuring data integrity and collaboration across teams.

Design and build data pipelines to migrate legacy data to Snowflake, optimize ETL processes, and ensure data quality through monitoring and troubleshooting.

The role involves provisioning network devices and servers, troubleshooting issues, collaborating on standards and automation, and supporting infrastructure deployment for Fastly's CDN.

The Principal Engineer will oversee solution architecture and design, collaborate with data teams, drive best practices in data management, and mentor engineers. They will align technical strategies and contribute to data platform roadmaps.

The Principal Cloud Data Engineer will design modern data architectures, lead engagements, and advise C-level executives on data strategies, governance, and AI, leveraging Azure technologies to deliver scalable solutions.

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

The Principal Engineer, Data will lead data architecture and engineering strategy, ensuring alignment across multiple teams, improving data pipelines, and mentoring engineers.

The Staff Data Engineer role involves leading the design and operation of data engineering frameworks, mentoring junior engineers, and ensuring data reliability and performance.

The Staff Data Engineer leads technical efforts in designing and building scalable data platforms, ensuring system integrity and performance while mentoring team members and aligning with organizational strategies.

The Staff Data Engineer will lead data engineering practices, optimize data pipelines, ensure data quality, collaborate across teams, and document processes.

Lead Data Engineer responsible for building and operating scalable data solutions, leading a small team, and ensuring delivery outcomes through customer focus and Agile methodologies.