Melbourne | Hybrid
About the Role
We are seeking a Data Integration Engineer to design, build, and operate scalable data integration pipelines across batch and streaming architectures. This role is critical to enabling secure, reliable, and observable data movement across platforms while supporting and uplifting Operational Data Store (ODS) capabilities to meet business outcomes.
Key Responsibilities
Data Pipeline Design & Delivery
Design and deliver batch and streaming data pipelines using cloud-native and event-driven patterns
Build ingestion and transformation workflows to harmonize diverse datasets into common data models
Expose integrated data through APIs and messaging platforms
Secure File-Based Integrations
Implement and manage secure file transfer integrations using managed transfer services
Apply authentication, authorization, virus scanning, and cross-account data movement
Create and maintain operational runbooks and support documentation
Reliability, Observability & DevOps
Engineer pipelines for high reliability, performance, and scalability
Instrument solutions with logging, metrics, tracing, and alerting
Automate deployment and operations aligned with DevOps and CI/CD best practices
ODS Engineering & Platform Uplift
Engineer, manage, and support Operational Data Store (ODS) capabilities




Optimize and uplift ODS platforms to meet evolving business outcomes and scale requirements
Work with data caching technologies to improve performance and scalability
Identify and remediate underlying platform and architectural issues
Required Skills & Experience
Strong experience in data integration engineering or related roles
Hands-on experience with
File Transfer & Managed Transfer Services
Event-driven architectures and Kafka
ODS technologies: PostgreSQL, Graph databases, OpenSearch
Change Data Capture (CDC) tools such as Debezium
Experience designing cloud-native data platforms
Solid understanding of data security, governance, and reliability engineering
Solid scripting and automation skills
Excellent problem-solver and stakeholder collaboration abilities
Nice to Have
Experience with large-scale distributed systems
Exposure to API management and data virtualization
Familiarity with observability tools (e.g., Prometheus, Grafana, CloudWatch, etc.)
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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📌 Data Integration Engineer (Melbourne)
🏢 Hays
📍 Melbourne