Top Data Engineer Jobs in Sydney

Responsible for managing trading-related data systems, ensuring data storage and processing efficiency, and collaborating with engineering and trading teams.

As a Data Engineer at Kyndryl, you will design and implement scalable data platforms, build ETL pipelines, ensure data governance, and collaborate with teams to deliver AI-driven data solutions. You'll also mentor junior engineers and drive DataOps best practices.

As a Data Engineer, you will design, build, and maintain a scalable data infrastructure, ensuring data quality and accessibility while collaborating with cross-functional teams.

As a Data Engineer, you will develop and maintain scalable data solutions, integrate data sources, optimize performance, and collaborate closely with stakeholders.

As a Data Engineer, you will design and optimize cloud-native ETL pipelines, transforming raw data into insightful analytics while collaborating with teams and implementing best practices in a cloud environment.

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.

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

The role involves scraping, cleaning, and maintaining datasets focused on global wealth migration, producing annual reports, and creating visualizations.

The Data Engineer will design data models, maintain data pipelines, ensure data quality, and explore AI technologies to enhance workflows.

Seeking a Sr. Data Engineer to collaborate with data teams, develop data pipelines, and adhere to data management standards using various AWS services and tools.

As a Data Engineer (Consultant), you will develop structured data sets, design data models, and create scalable ETL packages while collaborating with various teams to ensure data accuracy and optimize analytics capabilities.

As a Data Engineer, you will build and optimize data solutions, manage data pipelines, and engage clients for technical projects using cloud and Databricks.

Design, build, and optimize scalable data and AI solutions, lead engagements with executives, and mentor teams to drive high-quality outcomes in Data & AI.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Master Data Developer designs and configures PIM solutions, ensures data integrity, assists in MDM strategy, and maintains relationships with stakeholders.

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.

This role involves collecting and processing audio data, managing cloud infrastructure on GCP, and collaborating with AI scientists to improve data quality and cost efficiency.

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.

The role involves designing and implementing scalable data pipelines and infrastructure on GCP, ensuring data quality, and collaborating across teams for operational excellence.

As an Analytics Developer - Data Steward, you will deliver analytics solutions, manage data analytics capabilities, collaborate with stakeholders, and provide operational support.

The Software Engineer will design and implement scalable data pipelines, optimize data processing, collaborate with teams, and mentor junior engineers, focusing on performance and cost-effective solutions.

The Senior Data Engineer will architect and optimize scalable cloud-native ETL pipelines, manage data models, and collaborate with teams for insights conversion.

The role involves building real-time data pipelines, implementing data mesh architectures, providing client advisory, and developing data solutions using modern tools and 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.