Top Data Engineer Jobs in Sydney

The Data Engineer role involves architecting a unified data platform, managing data pipelines, supporting AI functions, ensuring data integrity, and collaborating with cross-functional teams.

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 Data Engineer, you'll build and maintain data pipelines and models to support data integration and analytics within Wisr's data platform, collaborating closely with cross-functional teams to ensure data quality and reliability.

The Data Engineer will design and maintain SQL data warehouses, build reports with SSRS, and manage data pipelines using Airflow.

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.

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

The Data Analysis Engineer will perform data exploration, validation, and mining to support banking products, utilizing SQL and Python for detailed data analysis and ensuring data quality across projects.

The Senior Data Platform Engineer will deliver data projects in a consulting environment, managing multiple priorities, working with cloud data platforms, and leading technical initiatives while collaborating with clients.

As a Senior Data Engineer, you will design, develop, and maintain secure ELT data pipelines on Azure, ensuring data accuracy and governance while collaborating with teams to deliver actionable insights.

Lead technical delivery of data platforms and BI solutions. Work with stakeholders to gather requirements and provide thought leadership on data profiling and integration.

The Staff Data Engineer will architect and enhance the Data Lake platform, ensuring performance and cost-efficiency while collaborating with product and engineering teams.

The Senior Data Engineer will own Blinq's data analytics infrastructure, ensuring data quality, integration, and supporting data-driven decisions through collaboration with product and engineering teams.

The Senior Data Engineer will build and maintain data models, support ETL processes, improve data observability, and collaborate with stakeholders for business insights.

This role involves designing data processes, collaborating with analysts, maintaining data quality, and proposing cloud-based architecture solutions within the GCP ecosystem.

The Staff Data Engineer will lead data engineering infrastructure, design scalable systems, optimize data pipelines, and collaborate with teams to enhance data practices for business impact.

As a Senior Data Engineer, you'll lead the design and maintenance of data pipelines, optimizing infrastructure, collaborating cross-functionally, and ensuring data quality for effective decision-making.

The Senior Data Engineer manages ETL processes, data warehousing, and pipeline creation. The role involves troubleshooting, data quality confirmation, and mentoring team members, requiring strong skills in SQL and Python, along with cloud computing knowledge.