Top Data Engineer Jobs in Melbourne

Design and implement scalable data pipelines and data warehouse solutions, transforming data for Snowflake and ensuring data quality and integrity while optimizing performance.

The Data Engineer will build and scale data infrastructure, design data processing systems, and collaborate with teams to optimize data quality and performance using various GCP technologies.

The Principal Data Engineer will design and deliver scalable data architectures, optimize data pipelines, and guide clients in data management strategies. Responsibilities include technical leadership, collaborating with teams, and translating complex concepts for diverse audiences.

As a Data Engineer, you will build data pipelines, unify client data from diverse sources, and create ETL processes while collaborating with various stakeholders.

As a Data Engineer, you will design and maintain geospatial data pipelines while improving dataflows in secure environments, collaborating with teams and mentoring juniors.

As a Data Engineer, you will design and maintain data pipelines, optimize databases, and enhance cloud-native platforms to drive insights for customers.

In this role, a Data Engineer will develop and maintain data pipelines, implement quality checks, enhance reporting processes, and collaborate with stakeholders.

Kogan.com seeks a Data & ML Engineer to develop data pipelines, support ML workflows, and ensure data integrity for eCommerce operations.

As a Data Engineer, you'll build scalable data pipelines, collaborate with marketing teams, ensure data quality, and optimize existing infrastructure to support analytics.

The Data & Analytics Engineer will integrate data stacks with products, build reports and dashboards, and enhance customer experience using AI-driven insights.

The Senior Data Engineer will design and deliver scalable data platforms, lead architecture decisions, mentor teams, and engage clients to build robust cloud solutions.

The Senior Data Engineer/Consultant will lead data engineering projects, ensuring high-quality technical outcomes using Databricks, while mentoring team members and collaborating with clients.

As a Senior Data Engineer, you'll design and transition data platforms, optimize performance, support data accessibility, and collaborate widely across teams.

As a Senior Data Engineer, you'll design, build, and maintain data infrastructure and solutions for clients in Financial Services. You'll work with teams to create data pipelines, data warehouses, and governance frameworks using cloud platforms and modern data tools.

As a Staff Data Engineer, you'll design and build advanced data platforms and pipelines, ensuring security and compliance while delivering high-quality data products using AWS technologies.

In this role, you will drive technical strategy for data pipeline workflows, provide technical expertise across teams, and improve engineering effectiveness by defining new tools and standards while mentoring team members.

As a Lead Data Engineer, you'll design and maintain platform capabilities, CI/CD pipelines, and cloud infrastructure, ensuring system reliability and developer productivity while utilizing AI tools effectively.

Seeking a Senior Data Engineer to design and deliver data solutions in a hybrid work environment, focusing on large-scale projects and collaboration with teams.

The Senior Technical Solutions Engineer leads design and technical development for customer engineering solutions, supports pre-sales opportunities, and collaborates with internal teams for effective delivery and client engagement.

As a Senior Software Engineer on the Data Platform team, you will design infrastructure, ensure system reliability, and build compliance tools while contributing to the development lifecycle and tackling integration challenges.

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

The Senior Data Engineer will engineer and improve enterprise-scale data platforms on AWS, design and build end-to-end data pipelines, and optimize data processing solutions using Apache Spark and Python. Responsibilities include data governance, compliance controls, and collaboration with cross-functional teams to support analytics and data integration needs.

As a Senior Data Engineer, you'll design and build scalable data pipelines, maintain data warehouse solutions primarily using Snowflake, and implement data transformation workflows with dbt. You'll also ensure data quality and collaborate with a cross-functional team.

The Senior Geospatial Data Engineer is accountable for designing and improving geospatial dataflows, ensuring data quality and compliance while leading a team in a secure environment.

The Senior Data Engineer will develop and maintain data pipelines, define common data standards, integrate data systems, and collaborate with cross-disciplinary teams to enhance data governance and platform scalability.