Top Data Engineer Jobs in Sydney

The Principal Data Engineer will architect and evolve the core data platform, implement data governance, mentor junior staff, and collaborate with various stakeholders to enhance product and business strategy.

The Data Center Engineer I will deploy, maintain, and optimize data center infrastructure, troubleshoot hardware and network issues, and ensure seamless operations.

As a Data Engineer, you will design and optimize cloud-native ETL pipelines, transforming raw data into insightful analytics while collaborating with teams and implementing best practices in a cloud environment.

As a Data Engineer at SafetyCulture, you'll deliver quality data for analytics, manage data architecture, and collaborate across teams to optimize data sources and support decision-making.

The Data Engineer leads the development of data projects, designs data pipelines, ensures data integrity, and collaborates with teams on data requirements and solutions.

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

The role involves scraping, cleaning, and maintaining datasets focused on global wealth migration, producing annual reports, and creating visualizations.

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.

Seeking a Sr. Data Engineer to collaborate with data teams, develop data pipelines, and adhere to data management standards using various AWS services and tools.

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.

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 Master Data Developer designs and configures PIM solutions, ensures data integrity, assists in MDM strategy, and maintains relationships with stakeholders.

As a Data Engineer, you will develop, maintain, and support scalable data pipelines and systems, ensuring data integration, quality, and performance optimization for innovative payment solutions.

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

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

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.

Lead Data Engineer overseeing data platform architecture, development, and governance, managing a team while implementing MLOps and data governance best practices.

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

The Data Engineer Consultant develops data models, designs ETL processes, analyzes data sources, and collaborates on analytics requirements to enable data-driven decision-making.

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

Lead the development of data projects, build and maintain data pipelines, ensure data integrity, and mentor the team. Manage complex datasets for various AP+ products and analytical projects.

Design and build data models for analytics to connect engagement and performance data. Collaborate with data scientists and optimize queries for insights.