Top Data Engineer Jobs in Sydney

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

This role involves designing scalable data solutions, ensuring compliance, and enhancing data governance in a financial services context.

The Data Center Engineer II role involves deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, and managing inventory. Responsibilities include hardware installation, RMA submissions, and participating in an on-call rotation, all requiring strong problem-solving skills and experience in a collaborative environment.

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

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

Intelligen is seeking Data Engineers with 3-5+ years of experience in ETL and DWH technologies, particularly with Snowflake and dbt, to improve client data models and pipelines.

The Data Engineer will work on diverse projects, creating ETL processes and unifying client data from various sources while addressing data management challenges and supporting client needs.

The Data Engineer will manage data projects, design and maintain data pipelines, ensure data quality, collaborate with teams, and troubleshoot data issues.

The role involves designing, building, and deploying Generative AI solutions, contributing to data analytics, and engaging with clients to solve complex business problems.

The Data Engineer will design and implement data pipelines, manage Databricks tables, ensure data quality, and support infrastructure on AWS, contributing to a modern data team.

As a Data Engineer, you will develop, maintain, and support data solutions in payments, ensuring high-quality data integration and performance optimization while collaborating with data teams.

Join Speechify's AI team as a Software Engineer responsible for data collection and infrastructure management to enhance model training operations.

Lead the clearing risk data team in analytics projects, engage stakeholders, and improve risk reporting processes. Oversee data governance and analysis.

The Data Platform Engineer will build and optimize data pipelines, develop Python and SQL solutions, manage CI/CD processes, and ensure system reliability in AWS environments. They'll collaborate with stakeholders to deliver scalable data solutions.

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

In this role, you'll monitor data pipelines, perform quality tests, resolve data incidents, and implement automation for reliability in trading operations.

As a Senior Data Engineer, you'll modernize the data platform, enforce architecture standards, and improve dataset quality and governance.

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 Staff Software Engineer will lead technical strategy for data workflows, mentor teams, improve engineering standards, and drive collaboration across multiple teams using Python and Go in AWS environments.

As a Lead Data Engineer, you'll design and maintain platform capabilities, CI/CD pipelines, and cloud infrastructure, ensuring system reliability and developer productivity while utilizing AI tools effectively.

The Chief Engineer oversees data centre operations, manages SLAs and KPIs, supervises site teams, ensures compliance, and handles project coordination.

The Senior Data Engineer will design and optimize data pipelines using Azure technologies, collaborate with teams for data quality, and implement CI/CD practices.

The Senior Technical Solutions Engineer leads design and technical development for customer engineering solutions, supports pre-sales opportunities, and collaborates with internal teams for effective delivery and client engagement.

This role involves managing data collection for training AI models, integrating infrastructure, and collaborating with scientists to improve data quality and pipeline efficiency.

As a Principal Engineer, you will design and develop a scalable data platform, contribute to architectural decisions, collaborate with teams, and drive high-quality engineering practices.