On Senior Data Streaming Platform Engineer

On; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A technology company in London seeks a Streaming Platform Engineer to manage and enhance their real-time data streaming infrastructure. The ideal candidate will have extensive experience with Apache Kafka and related technologies, skillfully building robust data pipelines and ensuring system reliability. This hybrid role promotes continuous growth within a collaborative environment that fosters innovation and well-being.

Benefits

Personal development tools

Team-oriented atmosphere

Support for physical and mental well-being

Qualifications

• Strong production experience with Apache Kafka and its ecosystem.
• Experience building and optimizing real-time data pipelines.
• Hands-on experience with Cloud Platforms (AWS, GCP, Azure).
• Proficiency in programming languages such as Python, Java, or Scala.

Responsibilities

• Design, build, and maintain the core infrastructure for the data streaming platform.
• Implement and optimize data pipelines and stream processing applications.
• Collaborate with engineering teams to define event schemas.
• Monitor platform performance and troubleshoot issues.

Skills

Apache Kafka

Data streaming

Distributed systems

Python

Real-time data pipelines

Tools

Docker

Kubernetes

Terraform

New Relic

Prometheus

Grafana

Job description

We are seeking a highly skilled and motivated Streaming Platform Engineer to join the Data Streaming Platform team. This is a unique hybrid role that combines the disciplines of platform, software, and data engineering to build, scale, and maintain our high-performance, real-time data streaming platform. The ideal candidate should have a passion for architecting robust, scalable systems to enable data-driven products and services at massive scale.

Your Mission

• Design, build, and maintain the core infrastructure for our real-time data streaming platform, ensuring high availability, reliability, and low latency.
• Implement and optimize data pipelines and stream processing applications using technologies like Apache Kafka, Apache Flink, and Spark Streaming.
• Collaborate with software and data engineering teams to define event schemas, ensure data quality, and support the integration of new services into the streaming ecosystem.
• Develop and maintain automation and tooling for platform provisioning, configuration management and CI/CD pipelines.
• Champion the development of self-service tools and workflows that empower engineers to manage their own streaming data needs, reducing friction and accelerating development.
• Monitor platform performance, troubleshoot issues, and implement observability solutions (metrics, logging, tracing) to ensure the platform's health and stability.
• Stay up-to-date with the latest advancements in streaming and distributed systems technologies and propose innovative solutions to technical challenges.

Your Story

• Streaming Platforms & Architecture: Strong production experience with Apache Kafka and its ecosystem (e.g., Confluent Cloud, Kafka Streams, Kafka Connect). Solid understanding of distributed systems and event-driven architectures and how they drive modern microservices and data pipelines.
• Real-Time Data Pipelines: Experience building and optimizing real-time data pipelines for ML, analytics and reporting, leveraging technologies such as Apache Flink, Spark Structured Streaming, and integration with low-latency OLAP systems like Apache Pinot.
• Platform Infrastructure & Observability: Hands-on experience with major Cloud Platforms (AWS, GCP, or Azure), Kubernetes and Docker, coupled with proficiency in Infrastructure as Code (Terraform). Experience integrating and managing CI/CD pipelines (GitHub Actions) and implementing comprehensive Observability solutions (New Relic, Prometheus, Grafana) for production environments.
• Programming Languages: Proficiency in at least one of the following: Python, Typescript, Java, Scala or Go.
• Data Technologies: Familiarity with data platform concepts, including data lakes and data warehouses.

Meet The Team

You will be part of a talented and diverse team of data engineers, data scientists and product managers focused on revolutionizing the use of stream-processing across the organization. We are building innovative data solutions to optimize internal processes, enhance customer experiences, and drive business growth.

What We Offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.