Top Data Engineer Jobs in Melbourne

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

The Principal Data Engineer will design and implement data and analytics solutions, lead teams, ensure best engineering practices, and drive technical strategy.

As a Data Engineer, you will develop and maintain data platform products, improve lifecycle processes, monitor data health, and advise on product enhancements.

As a Data Engineer, you will design and maintain scalable data solutions and pipelines, ensuring compliance and optimizing data governance within the Microsoft ecosystem.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, and ensure data quality for product development.

The Data Engineer role involves developing data warehousing solutions, managing ETL processes, and utilizing Azure and Snowflake in a collaborative environment.

Design and build scalable data platforms and pipelines, ensuring quality and facilitating self-service data access for internal teams.

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.

Lead a migration project to a modern data platform as a Senior/Lead Azure Data Engineer, overseeing delivery and mentoring engineers.

The Azure Data Engineer will manage data systems, optimize SQL queries in Snowflake, implement DBT models, and contribute to cloud migration efforts.

As a Middle Data Engineer, you will design and maintain SQL data warehouses, enhance reports using SSRS, and develop data pipelines with Airflow.

The Senior Data Engineer will design, build, and deliver data ingestion and integration solutions, while mentoring other engineers and contributing to high-quality outcomes.

Design and implement high-performance data acquisition pipelines, optimize ingestion processes, and mentor team members while ensuring data security and governance.

As a Senior Data Engineer, you'll design and implement data solutions on AWS, focusing on AI-driven platforms and optimizing data governance.

As a Staff Data Engineer, you will design and deliver integrated data platforms, oversee data delivery for Finance Risk, and coach junior engineers while utilizing various technologies.

As a Staff Data Engineer, you will build data solutions using AWS Cloud technologies, collaborate with teams to drive data strategy, and ensure code quality while mentoring junior engineers.

Lead the data warehouse replacement project for major clients, focusing on Snowflake and Azure Data Factory while mentoring other engineers.

The Cloud Data Platform Engineer designs, builds, and maintains data infrastructure on Azure and Snowflake, optimizing for performance, security, and scalability while collaborating with cross-functional teams.

The role involves designing scalable data pipelines and cloud data solutions, supporting reporting and analytics functions within cross-functional teams.

The Staff Data Engineer will lead projects in data architecture and engineering, mentor team members, and collaborate within an agile environment to enhance property data solutions.

As a Senior Data Engineer, you will design and implement data pipeline solutions for the Financial Crime domain, utilizing AWS and Big Data technologies to ensure compliance and data integrity.

As a Senior Data Engineer, you will design data pipelines, ensure data security and quality, mentor team members, and manage cloud infrastructure to drive innovation at Shell Energy.

The Data Platform Engineer role involves delivering data projects, managing ETL processes, and ensuring client needs are met with robust data solutions.

As a Staff Data Engineer, you'll architect scalable ETL pipelines, enhance data governance, and drive strategic data initiatives while collaborating with stakeholders and mentoring engineers.

As a Senior Data Engineer, you will build AI agents and data solutions, work with AWS and Big Data technologies, and enhance data capabilities across platforms.