Top Data Engineer Jobs in Melbourne

The Data Engineer will assist in migrating an on-premise MicroStrategy environment to the cloud, ensuring data consistency and cloud integration while collaborating with cloud services. Responsibilities include providing support for cloud deployments and leveraging expertise in data platforms and analytics.

As a Senior Data Engineer, you will design and implement data solutions using AWS Cloud technologies. You will lead data platform initiatives, enhance data quality, and ensure data security while collaborating with a talented engineering team to improve digital banking experiences.

As a Data Engineer, you will create and maintain efficient data transformation pipelines, manage complex financial datasets, optimize data delivery processes, and build scalable data infrastructure. Collaboration with cross-functional teams is crucial to addressing data-related issues and to support data infrastructure needs.

As a Senior Data Engineer, you will design and build a scalable data platform and pipelines, write clean code, manage infrastructure, and mentor junior engineers. Responsibilities include improving data quality, performing code reviews, and executing experiments with new technologies.

The Senior Data Engineer will architect and optimize scalable ETL pipelines, develop secure data infrastructure with AWS and Terraform, and lead strategic data initiatives. Responsibilities include implementing automated data governance, enhancing observability, conducting code reviews, and driving engineering best practices, while collaborating with stakeholders to empower data-driven decisions.

The Senior Data Engineer will build and maintain data-driven solutions utilizing AWS Cloud and Data Lake technologies. Responsibilities include creating data pipelines, ensuring data quality, leveraging various data processing tools, and collaborating with stakeholders to enhance data governance and security.

As a Data Analyst/Engineer at InfoCentric, you will leverage your skills in data analysis and manipulation to solve complex business problems. The role involves working with cloud data platforms and collaborating with industry leaders while applying your knowledge of banking and finance data challenges.

The Senior Azure Data Engineer role focuses on enhancing data infrastructure and analytics. Responsibilities include utilizing Azure Data Services for data engineering, managing data warehousing and ETL processes, and collaborating with teams to deliver impactful projects.

The Staff Data Engineer at Blinq will lead and maintain data engineering infrastructure, designing scalable data processing systems, optimizing data pipelines, and ensuring data quality. Collaboration with Product and Engineering teams is crucial to align data initiatives with business objectives, drive insights, and document workflows for clarity across teams.

The Data Developer will engage in data business development by analyzing existing backend data, overseeing data governance and optimization, and maintaining the data platform to ensure stability and performance. Responsibilities include applying data analysis algorithms, optimizing data structures, and resolving platform issues.

As a Senior Data Engineer, you will collaborate with data analysts and stakeholders to develop data processing flows, propose cloud architecture solutions, and design data transformation processes. Your role involves building and maintaining big data solutions and ensuring data quality and security.

As a Senior Data Engineer, you will collaborate with clients to design, build, and implement data transformation pipelines using various tools. Responsibilities include gathering business requirements, engaging in data sourcing and integration, and developing high-quality data processing solutions.

The Senior Data Engineer/Analyst is responsible for designing and implementing data solutions that enhance business insights and improve operational efficiency. This role involves leading cross-functional teams, developing and maintaining data pipelines and analytics platforms, delivering scalable data solutions, and engaging in problem-solving and continuous learning.

As a Senior Data Engineer at Blinq, you will oversee the data analytics infrastructure, ensuring data accuracy, maintaining dashboards, and collaborating across teams to drive data quality and align strategies with business goals. You'll construct and optimize data processing systems, integrate data from various sources, and implement quality checks.