Senior Kubernetes Engineer – Data Platform

United Kingdom·Londonsenior

Kubernetes EngineerInfrastructure & Cloud

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Quick Summary

Overview

Location: UK Department: Data OperationsReporting to: Head of Platform Engineering Role Summary We are hiring a Senior Kubernetes Engineer to help design and scale a Kubernetes‑native data platform powering large‑scale data ingestion, transformation, and analytics workloads.

Requirements Summary

Hadoop ecosystem exposure Cloud platforms (AWS/Azure/GCP) Infrastructure‑as‑Code experience Kubernetes or cloud certifications

Technical Tools

awsazuregcpgrafanakubernetesprometheus

Location: UK
Department: Data Operations
Reporting to: Head of Platform Engineering

Role Summary

We are hiring a Senior Kubernetes Engineer to help design and scale a Kubernetes‑native data platform powering large‑scale data ingestion, transformation, and analytics workloads. This role sits at the intersection of cloud‑native platform engineering and big‑data systems, focused on enabling reliable, observable, and cost‑efficient compute at scale.

You’ll work on core platform capabilities—from Kubernetes operators and data processing patterns to storage, metadata, and observability—supporting teams building modern data products.

This is a hands‑on engineering role with strong ownership, technical influence, and real production impact.

What You’ll Do

Design and build Kubernetes‑centric platform services for distributed data workloads
Implement scalable data processing patterns integrated with object storage (S3)
Develop and optimise data ingestion and transformation pipelines (Spark‑based)
Build and maintain metadata, lineage, and governance capabilities
Improve platform observability using metrics, logs, and tracing
Collaborate with platform, data engineering, and infrastructure teams
Mentor engineers and contribute to best practices across Kubernetes and data platforms

What We’re Looking For

Strong, hands‑on experience with Kubernetes (including operators, CRDs, or advanced workloads)
Background in data platforms or big‑data ecosystems
Experience with Spark and modern table formats (Delta / Iceberg)
Deep understanding of S3‑based storage patterns
Familiarity with metadata, data governance, or lineage tooling
Experience with Prometheus, Grafana, OpenTelemetry, or similar
Ability to operate in production environments with reliability and scale in mind