Top Data Engineer Jobs in Melbourne

As a Junior Data Engineer, you'll assist in building data pipelines, optimizing DB models, ensuring data quality, and developing analytics tools, while collaborating with stakeholders and learning from senior engineers.

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

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

The Senior Data Engineer will design and build data pipeline solutions using Big Data and AWS Cloud technologies. Responsibilities include developing high-quality data solutions, mentoring engineers, and collaborating across teams to enhance analytics capabilities.

As a Senior Data Engineer, you will design, build, and implement data transformation pipelines, gather business requirements, and work with Big Data technologies.

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

The Senior Data Analytics & Insights Analyst will build data pipelines, resolve integration challenges, analyze marketing metrics, and develop predictive models to optimize marketing initiatives.

The Senior Data Engineer will architect scalable ETL pipelines, enhance data infrastructure, implement data governance, and drive strategic data initiatives to empower data-driven decisions.

As a Senior Data Engineer, you will design and implement data models, develop data pipelines, collaborate across teams, and act as a trusted advisor on data solutions.

As a Staff Data Engineer, you'll design and implement scalable data lake solutions, collaborate with teams, and mentor engineers to optimise data processing and analytics platforms.

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.

Architect and implement enterprise-level data solutions, design data models and integration pipelines, and lead business engagements for robust data strategies.

The Senior Data Engineer will design and implement enterprise data solutions, optimize data models, and lead client engagements to drive data governance and analytics strategies.

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

The Senior Data Engineer will design and build data architectures, manage data processing, and ensure data quality, working with GCP and various data technologies.

The Data Analyst/Engineer will analyze data focusing on compliance and privacy, build secure data environments, and support marketing campaigns.

The Senior Data Engineer/Analyst will deliver insights and support compliance initiatives, utilizing SQL, Python, and AWS, while collaborating with stakeholders.

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 will design and maintain data pipelines on AWS and Databricks, optimize data infrastructure, and collaborate with teams to ensure efficient data solutions.