Engineering Manager - Data Platform

Within the Data Platform studio, we own two critical pillars: our event delivery platform that collects trillions of events per day from producers to consumers, and another, which handles the pseudonymisation of data so Spotify can use data responsibly and in compliance with privacy regulations. These systems sit at the heart of Spotify's data collection and are used by hundreds of teams across the company.

We're looking for an Engineering Manager to lead a team of six experienced engineers distributed across Europe. You'll set the technical direction, ensure the team delivers high-impact work, and - just as importantly - invest deeply in the growth and careers of your engineers. If you're energised by both the technical challenges of large-scale data systems and the human side of building a high-performing team, we'd love to hear from you.

• 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.

• 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.

• 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.