Engineering Manager, Data Platform — Lead at Scale (Europe)

Spotify; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Spotify is seeking an Engineering Manager in London to lead a team of six engineers across Europe, guiding technical direction and delivery for event delivery and privacy infrastructure. You will invest in engineers' growth, foster a culture of ownership and psychological safety, and partner with product to shape roadmaps.

You'll mentor senior engineers, drive architectural decisions for data-scale systems, and ensure reliability while collaborating with cross-functional teams across time zones.

Qualifications

• Experience managing teams of senior/experienced engineers.
• Strong focus on people development and career growth.
• Experience with large-scale data systems and data infrastructure.
• Ability to collaborate with product and stakeholders across time zones.
• Comfort with AI and LLMs to transform engineering workflows.

Responsibilities

• Lead and develop a team of six engineers with focus on coaching and career growth.
• Own the team's delivery with clear priorities and measurable outcomes.
• Partner with product and stakeholders to shape roadmaps for event delivery and privacy infrastructure.
• Drive technical strategy and architecture for scale.
• Foster ownership, safety, and continuous improvement.
• Collaborate across Data Platform and wider engineering org to align goals.
• Manage on-call health and reliability for services.
• Participate in hiring, onboarding, and building team capabilities.

Skills

Team leadership

Coaching

Distributed systems

Event-driven

Hiring

Communication

Job description

Spotify is seeking an Engineering Manager in London to lead a team of six engineers across Europe, guiding technical direction and delivery for event delivery and privacy infrastructure. You will invest in engineers' growth, foster a culture of ownership and psychological safety, and partner with product to shape roadmaps.

You'll mentor senior engineers, drive architectural decisions for data-scale systems, and ensure reliability while collaborating with cross-functional teams across time zones.