Senior Data Streaming Platform Engineer

2 weeks ago

London, Greater London, United Kingdom On Full time £70,000 - £110,000 per year

In short

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

This is a hybrid role, and we understand that candidates may not have experience with every single technology listed. We encourage you to apply if you have a strong foundation in a majority of these areas:

  • 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.

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.

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