Data and Infrastructure Engineer

Job summary

The Data and Infrastructure Engineer transforms data from diverse sources into analysis-ready formats and designs, operates, and supports cloud infrastructure and applications. The role covers data migration, mapping, quality and governance; cloud environments across AWS, Microsoft Azure, and Google Cloud Platform; database and REST API integration; and container deployment with Docker and Kubernetes. It also supports Linux/UNIX, OpenStack, on-premises systems, and OSDU and EDM workflows.

Qualifications

• Full Australian working rights.
• Bachelor's or master's degree in engineering, software engineering, or data science preferred.

Responsibilities

• Manage cloud environments in accordance with security guidelines.
• Gather system requirements and coordinate data transfer across cloud providers.
• Load, migrate, and retrieve data; assemble complex datasets to meet business requirements.
• Advise customers on data governance, policies, roles, and data flows.
• Map data and perform quality control across sources.
• Assess data and infrastructure environments and recommend improvements.
• Work with stakeholders to resolve data-related technical issues.
• Design and integrate RESTful services using JSON or XML.
• Maintain SQL and NoSQL databases, including Postgres.
• Troubleshoot systems involving virtualization, containers, and microservices.
• Deploy applications using Docker and Kubernetes.
• Support cloud and on-premises applications, infrastructure, and hardware.
• Handle incidents, change requests, and problems as first-line support.
• Install and configure IoT Agora solutions, including infrastructure, networking, and SDK implementation.
• Maintain accurate technical documentation.
• Participate in an out-of-office on-call rotation as required.

Skills

Degrees

Work schedule

Industry

Relocation