Top Data Engineer Jobs in Melbourne

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.

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 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.

Lead complex projects that enhance technology solutions at Pfizer, focusing on Agile implementation, stakeholder engagement, and communication of project statuses.

The role involves developing AI solutions, data engineering, and analytics products, ensuring system integration, automation, and collaboration within teams to enhance Pfizer's digital transformation efforts.

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 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.

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

The Data Engineer designs, builds, and deploys data technology solutions, collaborates with teams on data services and pipelines, and ensures compliance with governance policies.

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 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.

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 build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

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

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

The Senior Data Engineer will design and maintain data pipelines, develop data models, integrate APIs, and improve data architecture while supporting business insights.

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 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.