Top Data Engineer Jobs in Melbourne

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.

The Senior Azure Data Engineer will develop and manage data infrastructure and analytics capabilities, focusing on Azure Data Services, Data Warehousing, and ETL processes. The role requires collaboration with a team and involves hands-on experience with Azure Data Factory and Snowflake, emphasizing strong communication skills.

As a Data Engineer, you will support and improve the existing Python-based reporting pipeline, integrating data from multiple sources. Responsibilities include maintaining SLAs, troubleshooting issues, redesigning processes for stability, and working independently to enhance data pipeline efficiency.

The AWS Data Engineer is responsible for designing and maintaining data pipelines within AWS and Snowflake, ensuring data quality and performance. They collaborate with stakeholders to deliver data-driven solutions, manage data warehouses, and oversee data governance practices.

Responsible for data business development, data governance, and data platform maintenance in a top cryptocurrency exchange. Requires expertise in Python, big data platforms, SQL, and database management. Strong communication and problem-solving skills.

Leverage advanced statistical and computational methodologies to deliver insights and strategic opportunities for improving healthcare quality, patient experience, and cost. Integrate, analyze, and interpret business level data from multiple sources. Develop scalable processes for large-scale data analyses and model development. Manipulate and refine large datasets, monitor complex systems, and provide support on data-related solutions to business partners and clients.

As a Data Engineer at Culture Amp, you will design and build data pipelines for analytics products, ensuring they are tested and performing well. You'll collaborate with stakeholders to manage data responsibly and promote best practices within the team while working on cloud data warehouses and ETL tooling.

The AWS Data Engineer will work in a Data Analytics and Engineering role, focusing on data processing, optimization, and building scalable data solutions. Responsibilities include utilizing AWS tools and collaborating with stakeholders to deliver quality data initiatives.

The Data Engineer will develop and maintain data architectures including databases and large-scale processing systems. Responsibilities include optimizing SQL queries, collaborating with stakeholders to understand requirements, and integrating data from various sources.

As a Senior Data Engineer at Quantexa, you'll design and implement data processing systems, manage high volume data, and collaborate with clients and colleagues on solutions for complex data challenges in various domains. You'll ensure code efficiency and stability, and champion best practices in data engineering.

As a Senior Data Engineer, you will design, build, test, and implement data transformation pipelines, gather business requirements, and work with Big Data technologies. You will collaborate with clients and enhance data processing systems while maintaining a focus on quality and professional development.

The Senior Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data integrity, optimizing database performance, and integrating data from various sources. They will collaborate with cross-functional teams to deliver data solutions and enforce data governance policies while mentoring team members.

The Senior Data Engineer/Analyst is responsible for designing and implementing data solutions, leading cross-functional teams to develop and maintain data pipelines and analytics platforms. They ensure the delivery of scalable data solutions while applying strong problem-solving skills and a commitment to continuous learning.

As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.