Top Data Engineer Jobs in Sydney

As a Data Engineer, you will design and maintain real-time data pipelines using Kafka, collaborate with teams, and ensure data system performance and reliability.

The Data Engineer will support research teams by optimizing data processing workflows, managing data pipelines, and collaborating on data strategy. Responsibilities include development of platforms, cost optimization, monitoring, and mentoring.

As a Data Engineer, build and deploy data-driven solutions using Demyst's platform, engaging in data operations, governance, and API integration.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

The job involves developing data solutions based on business requirements, managing data architecture, and optimizing performance in a data platform.

As a Senior Data Engineer, you will manage data platforms and pipelines, integrate systems, and enhance data infrastructure using Microsoft Fabric.

The Senior Data Engineer will leverage extensive data engineering experience and programming skills primarily in Python and SQL for cloud data solutions, working with tools like Docker and Terraform.

The Data Platform Engineer develops and maintains data pipelines, dashboards, and ensures data quality for data-driven decision-making.