Top Data Engineer Jobs in Sydney

Work as a Data Engineering intern to define metrics, instrument logging, ingest and model data, transform datasets, ensure data quality and governance, and build alerts, visualizations and reports to support product, analytics and data science teams while receiving mentorship.

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 Data Engineer will support the Data Analytics team by delivering quality datasets, managing data architecture, and optimizing data pipelines using tools like Python, SQL, and AWS.

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.

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.

The role involves maintaining and optimizing a large-scale distributed system for security data, ensuring high availability, reliability, and performance, while collaborating with multiple teams on capacity planning and incident management.

Design and deliver scalable data solutions on Google Cloud Platform, build data pipelines, and support analytics and AI initiatives for clients.

Design and deliver scalable Databricks Lakehouse solutions while collaborating with clients to address data challenges and enhance AI capabilities.

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

As a Data Engineer, you will design scalable data pipelines, integrate data from various sources, optimize performance in Databricks, and collaborate with teams to meet data needs.

Design, build and operationalise a governed enterprise data foundation and reusable data products to support analytics, AI and downstream applications. Ensure data quality, lineage, auditability and regulatory compliance while collaborating with engineers, architects, data owners and stakeholders.

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

The Data Engineer will build and maintain data platforms, design data pipelines, ensure performance and observability, and collaborate on data management. Must focus on customer impact and long-term optimization.

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

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.

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

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

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

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

The Senior Data Engineer will design and implement data pipelines, maintain scalable platforms, support analytics, and utilize AI tools for efficient data management.

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.

Seeking a Senior Data Engineer with 7-10+ years of experience in data engineering, cloud computing, and strong SQL expertise. Responsibilities include data modeling, ETL processes, collaboration, and stakeholder engagement. Upskilling in Snowflake may be required.

The Data Observability Engineer will develop data observability tools, manage analytics frameworks, and contribute technical expertise across projects, ensuring integration and risk management.

The Principal Solution Engineer will focus on understanding customer challenges, delivering customized product demonstrations, and managing customer engagements, particularly in government and non-profit sectors.