Top Data Engineer Jobs in Melbourne

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 and develop data warehousing solutions with Snowflake and work on ETL processes using the Azure cloud platform and DBT.

The Data Engineer will design, build, and deploy data technology solutions, manage data pipelines, and collaborate with cross-functional teams to enhance data products and services.

Design, build, and optimize scalable data pipelines using Microsoft Fabric, collaborating with teams to deliver effective data solutions across cloud environments.

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

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 a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

As a Principal Engineer at Xero, you will lead initiatives to enhance software delivery, guide engineering standards, and ensure reliability of database platforms while mentoring engineers.

As a Senior Data Engineer at Shell Energy, you will oversee application performance, lead incident resolution, enhance system stability, and mentor junior engineers while contributing to engineering design.

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 role involves building and maintaining data acquisition pipelines, ensuring scalability, reliability, and governance. Responsibilities include collaborating on design, supporting ingestion processes, and ensuring data quality.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

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.

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

The Data Centre Sales Engineer supports the Sales team by engaging clients, designing solutions, conducting presentations, and managing projects related to colocation and connectivity services.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The Senior ETL Engineer will lead data engineering in the APAC region, ensuring standardized, scalable data practices and managing local data systems.

As a Senior Data Platform Engineer, you will design and implement cloud-native data platforms, build ETL pipelines, and mentor team members while engaging with clients on varied projects.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

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

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