Top Data Engineer Jobs in Melbourne

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

Design, build and operationalise a governed enterprise data foundation and reusable data products to support analytics, AI and downstream applications. Ensure data quality, lineage, auditability and regulatory compliance while collaborating with engineers, architects, data owners and stakeholders.

Seeking Data Engineers to modernize data platforms, optimize existing Snowflake datasets, and contribute to solution design and technical decisions in a consulting environment.

Lead the design and optimization of the enterprise data platform, overseeing development, ensuring scalability and compliance, mentoring junior engineers, and enhancing capabilities with emerging technologies.

Design, build and optimise cloud-first data pipelines and data models using Snowflake, dbt and Azure tools. Mentor other engineers, implement CI/CD and DevSecOps practices, monitor and improve platform performance, and support analytics and real-time ingestion needs.

As a Data Engineer, you will enhance and maintain data platforms, design data pipelines, and monitor performance while collaborating with stakeholders to manage data responsibly.

Design, build and maintain ETL pipelines and data warehouse solutions on Snowflake. Implement data models and transformations using SQL, Python and DBT. Work with Azure cloud services, engage stakeholders, and deliver data platform solutions in a consulting/client-facing environment.

Design, build and maintain end-to-end data pipelines, models and APIs using DBT, Airflow/Breeze and BigQuery. Improve data quality, performance and observability, support production systems, and collaborate with engineers, analysts and product managers to deliver reliable, scalable property data solutions.

As a Data Engineer at Intelligen, you'll design and deliver scalable data solutions across multi-cloud environments, developing data models and collaborating with clients to address data challenges.

Build and maintain scalable data pipelines, integrate new data sources, improve data infrastructure and tooling, collaborate with engineers and data scientists, and deliver data engineering projects across global markets.

The Senior Engineer role focuses on database consulting, support, and infrastructure modernization, guiding teams on database design, migration, and performance optimizations.

Design and build data pipelines to migrate legacy data to Snowflake, optimize ETL processes, and ensure data quality through monitoring and troubleshooting.

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 role involves designing and optimizing data pipelines for migrating data from Salesforce to Snowflake, ensuring data quality and efficiency.

As a Data Engineer, you will design, build, and maintain data platforms using Azure Data Factory, dbt, and Snowflake to ensure data quality and support integration.

Lead design, build, and optimisation of scalable data pipelines on Databricks or Snowflake using dbt. Define architecture (ingestion, storage, modelling), ensure performance, implement CI/CD, manage governance, automate testing/monitoring, and mentor junior engineers.

The role involves designing and building data models for analytical insights, optimizing queries, and collaborating with data scientists on production models.

The Data Engineer will design, build, and maintain ETL/ELT data pipelines, manage the enterprise data lake, and ensure quality data for analytics at HCA.

As a Software Engineer, you'll develop and maintain data acquisition pipelines, ensuring quality and performance in data integration. You'll work on both batch and streaming ingestion while collaborating across domains.

Lead design and delivery of enterprise-scale Azure data platforms. Architect ADF pipelines, Snowflake data models, and dbt transformations. Provide technical leadership, mentor engineers, implement data quality/lineage/governance, and engage stakeholders to translate business needs into scalable solutions.

The Principal Engineer, Data will lead data architecture and engineering strategy, ensuring alignment across multiple teams, improving data pipelines, and mentoring engineers.

The Software Engineer will manage data collection for model training, enhance the ingestion pipeline, and collaborate with the AI team on data strategy.

Build and maintain the infrastructure for a global data platform: use Terraform and Kubernetes on AWS EKS, operate core data services (Airflow, dbt), improve observability and reliability, support data engineers, and enable scalable self-service data workflows.

Design, build, and maintain data pipelines and APIs, lead technical discussions, resolve data quality issues, and mentor engineers.

Build and operate scalable, secure cloud data platforms and services using Spark (batch and structured streaming). Lead engineering and DevOps practices, resolve production incidents, ensure platform health, mentor engineers, collaborate with Architecture and Security, and align technical roadmap with SEEK’s technology strategy to deliver high-quality data assets.