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Staff Software Engineer: Lead, Event-Driven Data Pipelines

ON.com

Greater London

Hybrid

GBP 70,000 - GBP 90,000

Full time

Today
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Job summary

A global sportswear company based in London seeks a Staff Software Engineer to lead the development of data streaming within event-driven architectures. This role involves hands-on coding, mentoring engineers, and collaborating with cross-functional teams to ensure effective technical solutions. With 5+ years of experience, the ideal candidate will have a strong focus on Apache Kafka, data governance, and influencing technical direction within the organization. Join a culture centered around growth and innovation while contributing to a sustainable business model.

Benefits

Supportive team-oriented atmosphere
Access to personal self-care for well-being

Qualifications

  • 5+ years of experience building and operating large scale event-driven systems in production.
  • Extensive hands-on experience with Apache Kafka in production.
  • Experience leading complex technical initiatives with multiple stakeholders.
  • Exceptional communication skills for articulating technical concepts.

Responsibilities

  • Drive the development of data streaming across event-based architecture.
  • Own technical knowledge and guidance on data streaming standards.
  • Write and own production code, ensuring high quality and reliability.
  • Mentor engineers on event-driven architecture and data governance.
  • Collaborate with cross-functional teams to define technical solutions.

Skills

Event-driven architecture
Apache Kafka
Data streaming
Node.js
Technical mentorship
Cross-functional collaboration
Job description
A global sportswear company based in London seeks a Staff Software Engineer to lead the development of data streaming within event-driven architectures. This role involves hands-on coding, mentoring engineers, and collaborating with cross-functional teams to ensure effective technical solutions. With 5+ years of experience, the ideal candidate will have a strong focus on Apache Kafka, data governance, and influencing technical direction within the organization. Join a culture centered around growth and innovation while contributing to a sustainable business model.
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