Senior Data Platform Engineer (Streaming)
Publication date:
25 February 2025Workload:
100%- Place of work:Zurich
Job summary
At On, data is vital for driving our growth and operations. Join us to enhance our tech landscape!
Tasks
- Build the future of real-time data by executing our streaming platform.
- Champion streaming solutions and advocate for real-time data benefits.
- Design scalable infrastructure to support On's expanding data needs.
Skills
- Experience with technologies like Kafka, Flink, or Spark Streaming.
- Strong understanding of data quality and reliability processes.
- Ability to collaborate with engineers and scientists on data projects.
Summary from the original job ad
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In short
In the dynamic landscape of On, Data plays a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement.
Your Mission
- Build the Future of Real-Time Data at On: Contribute to the execution and strategy of our streaming data platform, identifying opportunities to leverage real-time data to drive innovation and efficiency across the organization.
- Champion Streaming Solutions: Be a passionate advocate for the power of real-time data and stream processing, effectively communicating its potential and benefits to stakeholders across the technology organization.
- Design and Develop Scalable Infrastructure: Contribute to the design, development, and implementation of a robust and scalable streaming data platform to support On's growing data needs. This includes technologies like Kafka, Flink, Spark Streaming, or similar.
- Ensure Data Quality and Reliability: Implement processes and tools to ensure the quality, reliability, and availability of real-time data pipelines.
- Enable: Work closely with software engineers, data engineers, data scientists and other teams to integrate streaming solutions into On's data ecosystem.
- Embrace New Technologies: Stay abreast of the latest advancements in stream processing technologies and contribute to the continuous improvement of On's data platform.
