Top Data Engineer Jobs in Melbourne

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.

The Principal Data Engineer will architect cloud-native platforms, oversee model execution and data management while ensuring compliance with regulatory standards in a high-performing team.

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

Lead design and delivery of scalable data and AI platforms across Azure and Databricks. Architect production-grade ML/LLM solutions (RAG, agentic patterns), build batch and streaming pipelines, formalize medallion/lakehouse standards, implement MLOps/DataOps (CI/CD, monitoring, orchestration), embed Responsible AI and governance, and provide technical leadership, mentoring, and cross-functional delivery.

The Data Engineer will design, build, and manage scalable data pipelines on GCP, ensuring data quality and operational excellence while collaborating with data teams.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Design and deliver scalable multi-cloud data solutions using Databricks/Snowflake and modern data stacks. Build ingestion, transformation, modelling and access layers, implement dbt and CI/CD, ensure data quality, governance and lineage, support analytics and AI enablement, and consult directly with clients while mentoring junior engineers.

The Software Developer - Data Engineer will build ETL packages, develop scripts, and automate processes while ensuring data security in cloud environments.

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

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

The Principal Engineer, Data & Platforms role involves overseeing the enterprise data platform, driving architecture and performance, and embedding AI capabilities while ensuring security, governance, and compliance.

As a Senior Data Engineer, you will design and build scalable data products, maintain data pipelines, ensure data quality, and mentor junior engineers in a collaborative environment.

Design and build scalable, secure data platform infrastructure on Databricks and Azure. Implement medallion ETL/ELT pipelines, multi-tenant isolation, graph data integrations, RBAC and privacy controls, CI/CD and observability. Lead architecture, mentor engineers, and align platform capabilities with analytics, BI, and AI teams.

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.

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

Senior Data Engineer responsible for designing, building and operating scalable cloud data platforms using Scala/Java, Spark and AWS. Deliver ETL pipelines, data modelling, pipeline orchestration, performance tuning, automated testing, and secure data controls. Engage stakeholders, produce technical designs and documentation, mentor engineers, and provide staff-like ownership on initiatives within Financial Crimes Intelligence.

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.

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

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.

Build and maintain a scalable Azure-based data platform (ADF, Databricks, Synapse, Azure SQL). Design batch and streaming pipelines, implement lakehouse/Delta Lake architectures, enable CI/CD and IaC, monitor performance/cost, support AI/ML workloads, ensure security and governance, and partner with analytics and AI teams to deliver trusted data for insights.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

Operate, monitor and maintain the MPLS core, data centre and global WAN; configure and deploy network infrastructure; troubleshoot complex underlay/overlay issues; develop automation and CI/CD tools; respond to incidents and participate in on-call; produce documentation and support project delivery.

The Sr Data Engineer will optimize and refactor data pipelines, manage data ingestion from APIs, and support product engineering teams. Responsibilities include design best practices, enhance the modern data stack, and troubleshoot data issues, ensuring resilience and operational excellence.

Lead design, build and optimise enterprise data platform and pipelines (Microsoft Fabric migration, AX ERP modelling, Denodo). Ensure platform performance, governance, incident management, and mentor junior/offshore engineers while driving stakeholder delivery in an agile environment.

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.