Top Data Engineer Jobs in Sydney

The Lead GCP Data Engineer will guide a team of engineers, utilizing extensive data engineering skills and expertise in GCP, Python, and SQL.

As Lead Data Engineer, you will design and manage SQL Server databases, improve system performance, mentor engineers, and consult on architecture.

Lead the design and implementation of a next-generation data platform on Databricks, ensuring data governance and engineering excellence while mentoring the data team.

As a Data Engineer, you will develop and maintain data warehouses and pipelines, ensuring data quality for machine learning and AI solutions.

The Principal Cloud Data Engineer will lead data initiatives, shape strategies, and implement end-to-end cloud data solutions, focusing on data governance and AI-driven decisions.

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

Collaborate with stakeholders to optimize the central data platform, working on data ingestion, curation, and building data products, ensuring high standards in the market infrastructure.

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 design and maintain data infrastructure, build scalable data pipelines, and ensure data quality for product development.

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.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

As a Senior Data Developer, you'll analyze systems, collaborate with stakeholders, code systems, review code, and ensure unit tests are conducted while using advanced tools in the payment system transformation project at RBA.

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.

As a Software Engineer for Data Infrastructure & Acquisition, you will build and manage data ingestion pipelines, collaborate on AI data roadmap, and optimize data collection for model training.

Design and implement modern data platforms, build ETL pipelines, mentor team members, and engage directly with clients to deliver data solutions.

The Senior Data Engineer will design and develop AI systems, ensuring data pipeline integrity, optimizing performance, and maintaining documentation and governance.

Lead the architecture and development of scalable data systems, build solutions for real-time analytics, mentor junior engineers, and guide data strategy.

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.

The Senior BI Developer will work on data migration projects, leveraging Alteryx and SQL, focusing on ETL workflows and API integration.

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.

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 Senior Data Engineer will lead the development of insurance data assets, ensuring data availability for analysis and decision-making, utilizing AWS and big data technologies while collaborating with various stakeholders.

Design, develop, and optimize enterprise data platforms, ensuring scalability and performance, while mentoring junior engineers and integrating emerging technologies.