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.

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.

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 Senior Data Engineer will work with banking clients, focusing on Snowflake architecture, pipeline development, and data manipulation, ensuring high-quality data solutions.

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.

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

As a Data Engineer at Brighte, you'll maintain and develop data infrastructure, manage ELT pipelines, ensure data quality, and optimize data processes for decision-making and AI capabilities.

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 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 Customer Data Engineer will manage data integration for utility customers, ensuring data onboarding efficiency, providing feedback, and improving internal tooling.

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.

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.

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.

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.

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

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.

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

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

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

Lead data engineering initiatives by building and maintaining robust data pipelines and customer data platforms, ensuring efficient data management and analysis.

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.

As a Data & DevOps Engineer, you will build and manage cloud-native data platforms, automate using IaC, and deliver data-driven solutions in Azure.