Top Data Engineer Jobs in Sydney

Hiring a Data Engineer at Atlassian to build data solutions for business decisions, work on data models and pipelines, and contribute to Atlassian's data-driven culture. Responsibilities include collaborating with data analytics teams, architecting data models, adding new sources, improving data quality, and owning end-to-end problems. Requires strong programming skills in Python, experience with relational databases, data modeling, and building scalable data pipelines using Spark and Airflow. Knowledge of AWS data services and modern software development practices is important.

As a Data Engineer at Demyst, you will collaborate with various stakeholders to build data-driven solutions, perform data analyses, and design scalable code blocks. You will also manage data integration projects and maintain production solutions.

The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.

Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

The Principal Data Engineer will guide the technical planning and development of critical sales tools and business workflows, focusing on data analysis for decision-making. Responsibilities include managing ETL data pipelines, leading the design and implementation of data products, mentoring engineers, and improving data engineering practices while collaborating with various stakeholders.