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.
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.
Compensation
Additional Information
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify is a global music streaming and audio platform that enables millions of users to discover and enjoy music, podcasts, and audio content. The company builds the underlying platform infrastructure, tooling, and developer capabilities that power rapid growth and scale across its user base and business operations. Spotify's Platform team creates the technology infrastructure needed to support a billion customers, including backend systems, fleet management, data pipelines, and developer platforms like Portal and Backstage. The company is increasingly integrating AI and large language models into its core infrastructure to improve how engineers ship software and how data is collected, processed, and made available across the organization. Spotify also operates an advertising business that connects advertisers to audiences through data-driven marketing strategies and personalization.
