Top Data Engineer Jobs in Sydney

The Data Engineer will design and implement data solutions, build scalable data pipelines, and collaborate with researchers to enhance data-driven decisions.

As a Data Engineer (Consultant), you will develop structured data sets, design data models, and create scalable ETL packages while collaborating with various teams to ensure data accuracy and optimize analytics capabilities.

The Data Engineer will architect a unified data platform, manage data pipelines, collaborate with teams, and ensure data quality.

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 Junior Data Engineer will assist in building data pipelines, ensuring data quality, and collaborating with stakeholders to develop data solutions, while learning from senior engineers.

The Master Data Developer is responsible for managing and optimizing data accuracy and integrity within the organization, focusing on data governance and compliance.

Assist in the development and optimization of data pipelines, participate in data analysis and solution design, and learn data engineering tools.

The Senior Data Engineer will design, build, and maintain scalable cloud-based data platforms, ensuring data integrity and security while collaborating with cross-functional teams to meet analytics needs.

As a Senior Data & Analytics Engineer, you will build data pipelines, manage large cloud data platforms, and develop analytics models and dashboards to provide insights.

The Data Platform Engineer role focuses on developing and maintaining scalable data pipelines, ensuring data quality and reliability, and supporting data operations across the organization.

The Data Analysis Engineer analyzes banking datasets, validates data quality, creates Python scripts, and collaborates with teams to enhance data-driven decision making.

The Data Platform Engineer role involves delivering data projects, managing ETL processes, and ensuring client needs are met with robust data solutions.

As a Senior Data Engineer, you'll own Blinq's data analytics infrastructure, maintain analytics tools, ensure data accuracy, and support data-driven decisions in a hybrid work setting.

The Staff Data Engineer will lead Blinq's data engineering infrastructure, optimize data pipelines, ensure data quality, and collaborate with teams to align data systems with business goals.