Top Data Engineer Jobs in Sydney

The Data Engineer will work with researchers and global teams to develop effective data pipelines, optimize data processing, and manage infrastructure costs. Responsibilities include designing data solutions, platform development, cost optimization, and providing mentorship to junior engineers while maintaining documentation and implementing monitoring tools for data operations.

The Data Engineer will build and maintain data lakes, automate data extractions, design data warehouses, and provide expert support in business intelligence and reporting. This role requires utilizing AI to enhance workflows and collaborating with cross-functional teams to meet data solution requirements.

As a Data Engineer, you will create and maintain efficient data transformation pipelines, manage complex financial datasets, optimize data delivery processes, and build scalable data infrastructure. Collaboration with cross-functional teams is crucial to addressing data-related issues and to support data infrastructure needs.

The Senior Data Engineer at GROW Inc. is responsible for designing and building scalable data platforms while ensuring clean code and efficient deployments. They will mentor junior engineers, contribute to data quality improvements, and leverage various technologies and cloud platforms in their solutions.

As a Data Engineer at Demyst, you will develop and implement data-driven solutions using innovative data sets and Demyst's software architecture. Responsibilities include data analysis, cleaning, working with APIs, and collaborating with cross-functional teams to meet client needs.

The Data Developer will engage in data business development by analyzing existing backend data, overseeing data governance and optimization, and maintaining the data platform to ensure stability and performance. Responsibilities include applying data analysis algorithms, optimizing data structures, and resolving platform issues.

As a Senior Data Engineer, you will design and build scalable data pipelines into Snowflake, enhance data models for analytics, guide complex data projects, and mentor a growing data team. You will also ensure efficient data access for stakeholders and stay updated on industry trends to optimize processes.

As a Senior Data Engineer, you will collaborate with Data Analysts and Scientists to define data processing workflows, design cloud solutions, build data transformation processes, and maintain robust big data solutions while ensuring the quality and security of data.