Engineering Manager - Data Platform
London
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Permanent — employment source
Employment type Permanent
Read the full posting
What you’ll work on
Full postingPartner 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- You have experience managing teams of senior/experienced engineers and understand that people leadership is your primary craft, not a side responsibility.
Qualification wording
You have experience managing teams of senior/experienced engineers and understand that people leadership is your primary craft, not a side responsibility.
Job description
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.
Employment type
Permanent
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 22, 2026
- Recorded sightings
- 68
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.