Top Data Engineer Jobs in Sydney

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.

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 design and manage data processing systems, transforming raw data into actionable insights by building scalable pipelines on Google Cloud Platform technologies.

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 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.

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.

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.

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 Data Engineer will design and optimize data pipelines, develop data architecture, and ensure data quality for migration projects across the organization.

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

As a Software Engineer in Data, you will design, build, and support data systems, create real-time data pipelines, and manage data workflows, collaborating across teams.

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

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.

The Associate Director will lead mechanical design for data centre projects, ensuring quality and efficiency while mentoring junior engineers and engaging clients.

The role involves designing and building scalable systems for trade lifecycle management, maintaining data integrity, and collaborating on reporting pipelines, while also handling production support.

The Lead Data Engineer will design and build cloud engineering solutions, lead data infrastructure projects, and mentor the engineering team to enhance data value for clients.

The Senior Data Engineer will engineer and improve enterprise-scale data platforms on AWS, design and build end-to-end data pipelines, and optimize data processing solutions using Apache Spark and Python. Responsibilities include data governance, compliance controls, and collaboration with cross-functional teams to support analytics and data integration needs.

Lead the design and development of modern data platforms, focusing on scalable architecture and high-performance data pipelines while ensuring security and compliance.

As the ICT - Data Centre Lead, you'll oversee ICT engineering for data centre projects, mentor teams, ensure project delivery, and engage clients.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

The Sr Data Engineer will optimize and refactor data pipelines, manage data ingestion from APIs, and support product engineering teams. Responsibilities include design best practices, enhance the modern data stack, and troubleshoot data issues, ensuring resilience and operational excellence.

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