Top Data Engineer Jobs in Melbourne

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.

The Data Engineer at Empower will develop and optimize data workflows, automate data infrastructure updates, and collaborate with various teams to enhance data governance. They will utilize SQL and Python extensively, working with tools like Databricks and Terraform to support the company's data strategy.

The Data Engineer will build and maintain data lakes, automate data extractions, design data warehouses, and provide expert support in business intelligence and reporting. This role requires utilizing AI to enhance workflows and collaborating with cross-functional teams to meet data solution requirements.

The Data Engineer will assist in migrating MicroStrategy from an on-premise to cloud environment, ensuring smooth cloud integration and data consistency.

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.

The Senior Data Engineer will design data processes, implement ETL pipelines, maintain data quality, and collaborate with analysts and stakeholders in a cloud environment.

As the Senior Data Engineer at Heidi, you will build and maintain the data infrastructure, including designing data warehouse architecture, implementing ETL/ELT pipelines, ensuring data quality, and collaborating with teams to meet data needs. This role demands strong SQL skills, experience with modern data warehouses, expertise in cloud platforms, and a track record of building data systems from the ground up.

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 design scalable data platforms, write clean code, mentor team members, and contribute to data quality improvements.

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 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 Staff Data Engineer will design and develop data solutions, lead data teams, and implement end-to-end Big Data solutions, primarily using Hadoop and Teradata platforms. Responsibilities include data modeling, managing stakeholder communications, and driving high-quality outcomes through effective coding practices.

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.

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.