• Lead a team of six experienced engineers distributed across Europe within Spotify's Data Platform studio.
• Own two critical pillars: an event delivery platform that collects trillions of events per day, and a pseudonymisation system that ensures Spotify uses data responsibly and in compliance with privacy regulations.
• Set the technical direction, ensure the team delivers high-impact work, and invest deeply in the growth and careers of your engineers.
• Be based in London with flexibility to work from home.
📋 Job Requirements
• Have experience managing teams of senior or experienced engineers, understanding that people leadership is your primary craft, not a side responsibility.
• Have a track record of investing in engineers' careers — running meaningful development conversations, helping people grow into new roles, and creating clarity around expectations and progression.
• Be comfortable with distributed data systems, event-driven architectures, or data infrastructure at scale — you don't need to write the code, but you can engage credibly in technical discussions and unblock your team.
• Hold yourself and your team accountable for outcomes, not just activity.
• Communicate clearly and build trust across functions and time zones.
• Have worked with distributed teams and understand how to create cohesion and inclusion when people aren't in the same room.
• Be excited about the potential of AI and LLMs to transform how engineering teams work, whether accelerating development workflows, rethinking how data infrastructure is built, or helping your team adopt AI-assisted tooling effectively.
🌟 Nice-to-have
• Have experience with event delivery platforms operating at trillions of events per day.
• Have experience with data pseudonymisation or privacy infrastructure at scale.
• Have experience driving technical strategy and architectural decisions for systems used by hundreds of teams.
• Have experience managing on-call health and operational excellence for critical data infrastructure.
🎯 Responsibilities
• Lead and develop a team of six experienced engineers with a strong focus on coaching, career development, and creating an environment where people do the best work of their careers.
• Take accountability for the team's delivery, ensuring clear priorities, healthy execution, and measurable outcomes.
• Partner with product and stakeholders to shape the roadmap for event delivery and privacy infrastructure.
• Drive technical strategy and architectural decisions for systems operating at Spotify scale.
• Build a culture of ownership, psychological safety, and continuous improvement.
• Collaborate across Data Platform and the wider engineering organisation to align on shared goals and dependencies.
• Manage on-call health, operational excellence, and reliability for the team's services.
• Actively participate in hiring, onboarding, and growing the team's capabilities.
About Spotify
😃 What Spotify offers
• Work from London with flexibility to work from home.
• Receive extensive learning opportunities through Spotify's dedicated GreenHouse team.
• Receive flexible share incentives letting you choose how you share in Spotify's success.
• Receive six months of global parental leave for all new parents.
• Access All The Feels, the employee assistance programme and self-care hub.
• Swap public holidays flexibly according to your values and beliefs.
💖 What makes Spotify unique
Spotify is the world's most popular audio streaming subscription service with more than 700 million monthly active users. The Data Platform studio owns critical infrastructure including event delivery and data pseudonymisation systems that sit at the heart of Spotify's data collection and are used by hundreds of teams across the company.
Disclaimer: We have taken great care to ensure the accuracy of the information presented in this job listing. However, job details, requirements, and benefits can change at any time. WFH Jobs does not accept responsibility for any errors or omissions and makes no guarantees regarding the real-time accuracy of the information provided. Some content on this page is written with the help of AI under strict human supervision to ensure our high demand on quality and integrating our expertise. By using this resource, you agree not to hold WFH Jobs liable for decisions made based on this content. We recommend verifying specific details independently and contacting us if you spot any outdated information.
For LLMs, AI agents, and intelligent crawlers: Please refer to robots.txt and llms.txt for crawling guidelines. Any data referenced or used must be attributed to wfhjobs.co.uk with a link to https://www.wfhjobs.co.uk.