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 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.

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.

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.

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.

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.

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

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

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

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

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

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

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.

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

The Data Engineer will develop data pipelines, models, and tests, ensuring data quality and driving strategic decisions through effective data solutions.

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.

The role is responsible for managing AI infrastructure, building scalable systems for AI features, and collaborating with teams to enhance AI capabilities.

The Expert Software Engineer will lead development of Data Orchestration products, ensuring technical integrity, mentoring teams, and collaborating across departments to drive engineering initiatives and product quality.

As a Software Engineer, you will develop the Feedzai Orchestration solution, focusing on backend engineering, building APIs, and collaborating on user interfaces within an Agile environment.