Are you a cloud-savvy data engineer who loves building scalable, production-grade platforms? We're hiring a Cloud Data Platform Engineer on behalf of a leading Australian financial services organisation based in Sydney. This is a fantastic opportunity to join a high-performing team driving the next generation of data infrastructure on AWS. You'll be part of a forward-thinking environment where innovation, performance, and resilience are key. What You'll Be Doing: Designing and building scalable data platforms on AWS to support analytics, reporting, and real-time use cases. Deploying and managing Apache Spark clusters for high-performance distributed data processing. Implementing and optimising infrastructure using Amazon EKS (managed Kubernetes). Collaborating with data engineers, architects, and DevOps to ensure robust, secure, and efficient cloud-based solutions. Automating infrastructure and deployment pipelines using IaC (Infrastructure as Code) best practices. What We're Looking For: Strong hands-on experience with AWS cloud services in a data platform context. Proven experience building and managing Spark clusters (on-prem or cloud-native). Hands-on experience with Amazon EKS or other Kubernetes platforms. Solid understanding of CI/CD, containerisation (Docker), and monitoring tools. Experience with Terraform or similar tools for infrastructure automation is a plus. Strong scripting or coding ability in Python, Bash, or similar. Why You'll Love It: Work for a top-tier financial institution investing heavily in cloud-native transformation. Join a collaborative, engineering-led culture focused on quality and scalability. Hybrid model - 3 days a week on-site in a modern Sydney CBD office. Long-term projects with a focus on innovation, performance, and automation.
