At a Glance
- Tasks: Design and maintain a high-performance real-time data streaming platform.
- Company: Join a diverse team revolutionising data solutions in a collaborative environment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a talented team driving innovation in data streaming technology.
- Why this job: Make an impact by optimising data processes and enhancing customer experiences.
- Qualifications: Experience with Apache Kafka, cloud platforms, and programming languages like Python or Java.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a highly skilled and motivated Streaming Platform Engineer to join the Data Streaming Platform team.
This unique hybrid role combines platform, software, and data engineering to build, scale, and maintain our high-performance real‑time data streaming platform.
The ideal candidate has 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 Apache Kafka, Apache Flink, and Spark Streaming.
- Collaborate with software and data engineering teams to define event schemas, ensure data quality, and support 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.
Qualifications
- 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.
- Experience building and optimizing real‑time data pipelines for ML, analytics, and reporting, leveraging Apache Flink, Spark Structured Streaming, and low‑latency OLAP systems like Apache Pinot.
- Hands‑on experience with major cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, Terraform, CI/CD (Git Hub Actions), and observability tools (New Relic, Prometheus, Grafana).
- Proficiency in at least one programming language: Python, Type Script, Java, Scala, or Go.
- Familiarity with data platform concepts, including data lakes and data warehouses.
- About 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’re building innovative data solutions to optimize internal processes, enhance customer experiences, and drive business growth.
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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Lead Streaming Platform Engineer employer: ON.com
On is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong commitment to employee growth, we provide opportunities for mentorship and professional development, ensuring that our team members are equipped to tackle complex challenges while enjoying a culture that values diversity and inclusion. Join us to be part of a forward-thinking team that is shaping the future of finance and operations technology, all while using cutting-edge tools and methodologies.
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We think this is how you could land Lead Streaming Platform Engineer
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We think you need these skills to ace Lead Streaming Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
