Data Platform Engineer

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we’re asking that you attend the office a minimum of 1 day per week.

What you’ll be doing

• Building for Scale: You will lead the design and implementation of our cloud-native Warehouse and Machine Learning platforms, ensuring they are robust, secure, and scalable.
• Mastering the Orchestration: You’ll dive deep into Kubernetes , leveraging Operators and Helm to automate complex data workflows and platform management. Building out kube native data and AI architecture.
• Bridging the Clouds: You will improve our existing tooling and implement new, seamless integrations between our AWS and GCP environments.
• Defining our State: You’ll use T...