Cloud Solution EngineerPosition Title: Cloud Solution Engineer
Reports To: Technical Lead, Software Engineering
Business Unit / Team: Architecture & Engineering, Technology Office

Key Purpose of the Role

The Cloud Solution Engineer (Data Integration team) is responsible for designing, building, and operating reliable, cloud-native data integration solutions that enable efficient data flow across systems. This includes supporting both real-time and batch requirements, ensuring security, observability, and alignment to modern engineering standards. The role focuses on ingesting and transforming data from multiple systems using scalable event-driven and batch processing techniques, and delivering harmonised datasets via APIs, messaging platforms, and data stores. It also includes overseeing secure file-based integrations, implementing automated infrastructure patterns, and applying DevOps/cloud-native best practices.
You will collaborate with software engineers, data analysts, architects, and business SMEs to deliver solutions that are scalable, observable, resilient, and well-documented.

Key Responsibilities

1. Data Integration Design & Delivery

• Design and implement streaming and batch data ingestion pipelines using cloud-native services.
• Transform and harmonise data into common data models, staged in relational databases, and exposed through APIs or messaging interfaces.
• Build resilient file transfer workflows (scheduling, parsing, transformation logic).
• Develop and maintain reusable integration patterns, templates, and infrastructure-as-code.

2. Cloud-Native Engineering & Automation

• Use infrastructure-as-code and CI/CD pipelines for deployments.
• Monitor and maintain non-production and production cloud environments (performance, cost, availability).
• Ensure services are secure, observable, and instrumented with logging and alerting.

3. DataOps & DevOps Practices

• Apply DevOps and DataOps principles: continuous integration, configuration-as-code, automated testing.
• Leverage git workflows and CI/CD tooling for agile and rollback-safe delivery.
• Align with platform-wide standards and architectural guardrails.

4. BAU, Continuous Improvement & Incident Management

• Support BAU operations for data integration services, ensuring high availability.
• Proactively improve performance, reduce complexity, and strengthen resilience.
• Respond to incidents and troubleshoot across cloud services, APIs, data stores, and file transfer systems.
• Complete incident post-mortems and implement lessons learned.

5. Collaboration & Technical Leadership

• Partner with analysts, developers, architects, and external partners to deliver fit-for-purpose solutions.
• Contribute to technical designs, data mappings, and runbooks.
• Provide mentorship and support capability uplift through chapter/guild activities.

6. Continuous Improvement & Stakeholder Engagement

• Identify opportunities for reusability and reducing integration friction.
• Translate business requirements into technical solutions clearly and effectively.

Required Capabilities, Qualifications & ExperienceCapabilities

• Cloud-native integration services: serverless, containers, pub/sub, orchestration.
• Streaming/event-driven platforms (e.g., Kafka).
• Programming & scripting: TypeScript, Python (preferred), or similar.
• Infrastructure as Code: Terraform or equivalent.
• CI/CD pipelines: Git workflows, automated build/test/deploy (Azure DevOps desirable).
• Relational databases (e.g., PostgreSQL) for staging and transformations.
• Strong SQL (ETL and query performance tuning).
• Graph databases (AWS Neptune highly desirable).
• AWS Glue with PySpark for large-scale processing.

Experience

• Proven end-to-end delivery of cloud-based data integration solutions.
• Data modelling, profiling, and source-to-target mapping.
• Strong DevOps/DataOps practices (version control, monitoring, automation).
• File-based integration design and operations.
• Agile squad experience.
• Strong documentation and stakeholder engagement skills.
  
  

Experience

• Hybrid work model
• Melbourne CBD location
• Salary range: 190K ~ 210K