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# Data Platform Engineer

- **Company:** Starling Bank
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, BigQuery, Cloud Engineering, Data Infrastructure, Python (Programming Language), Linux System Administration, Machine Learning, SQL Databases, Data Streaming, Systems Integration, Debezium, Kubernetes, Apache Kafka, Data Management, Terraform
- **Published:** June 5, 2026
- **Apply:** https://find.jobs/jobs-near-me/data-platform-engineer-london/2804422713-2/

## About the Role

* K8s Expertise: You have a solid understanding and practical experience with Kubernetes, specifically working with Operators and Helm to manage complex application lifecycles.
 * The Engineer's Mindset: You are proficient in Python or Java and enjoy writing clean, efficient code to solve infrastructure challenges.
 * Cloud Native: You are comfortable working in at least one of the major cloud providers (AWS or GCP) and understand how to get the best out of their managed services.
 * Optimising and refine: current data infrastructure, and deploying greenfield kube native OSS projects

Bonus points if you have:

 * Experience with SQL-based transformation workflows, specifically using dbt within BigQuery.
 * Familiarity with streaming and ingestion tech like Kafka or Debezium.
 * A background in Linux administration or data management best practices.

## Description

* 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 Terraform to manage and define our entire data infrastructure through code, ensuring reproducibility and transparency across the stack.


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