Spotify
Engineering Manager - Data Platform
engineeringfull-timeLondon
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role
What You’ll Do
- 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.
Who You Are
- You have experience managing teams of senior/experienced engineers and understand that people leadership is your primary craft, not a side responsibility.
- You 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.
- You're 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.
- You hold yourself and your team accountable for outcomes, not just activity.
- You communicate clearly and build trust across functions and time zones.
- You've worked with distributed teams and understand how to create cohesion and inclusion when people aren't in the same room.
- You're excited about the potential of AI and LLMs to transform how engineering teams work - whether that's accelerating development workflows, rethinking how data infrastructure is built and operated, or helping your team adopt AI-assisted tooling effectively.
Where You’ll Be
- This role is based in London.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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