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.