Senior Data Pipelines Engineer - Kubernetes & Scale

Bloomberg; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Bloomberg is seeking a backend/Platform Engineer to design, build, and operate infrastructure for event-driven data pipelines. You will contribute across the stack, delivering simple abstractions over complex distributed systems and owning end-to-end production delivery.

You will join a Kubernetes-based platform that processes billions of events daily, using Python and Go, with strong emphasis on reliability, observability, and developer experience.

Qualifications

• 4+ years of backend engineering experience in Python, Go, or a comparable language.
• A degree in Computer Science, Engineering, Mathematics, or equivalent work experience.
• Hands-on experience building and maintaining distributed systems in production.
• Knowledge of event-driven architectures using Kafka or similar technologies.
• Good understanding of Linux systems, networking fundamentals, and production debugging.
• A product mindset and strong written/verbal communication.

Responsibilities

• Design, build, test, and operate infrastructure and platform features for event-driven data pipelines.
• Work across the stack to build simple and reliable user-facing abstractions over complex distributed infrastructure.
• Own our systems end-to-end, from identifying problems through to production rollout and on-call support.
• Identify technical and feature gaps, write clear proposals, communicate trade-offs, and collaborate with teams across Bloomberg to deliver improvements.
• Contribute to operational excellence through testing, monitoring, troubleshooting, incident response, and post-incident learning.

Skills

Python

Go

Distributed systems

Production debugging

Linux fundamentals

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

S3

Comdb2

OpenTelemetry

Prometheus

Grafana

Kubernetes

Terraform

Job description

Bloomberg is seeking a backend/Platform Engineer to design, build, and operate infrastructure for event-driven data pipelines. You will contribute across the stack, delivering simple abstractions over complex distributed systems and owning end-to-end production delivery.

You will join a Kubernetes-based platform that processes billions of events daily, using Python and Go, with strong emphasis on reliability, observability, and developer experience.