Engineering Manager – Data Platform

🕒 July 21

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Lead and develop a team of six experienced engineers • Accountability for team delivery • Partner with product and stakeholders for roadmap shaping • Drive technical strategy and architectural decisions • Build a culture of ownership, psychological safety, and continuous improvement • Collaborate across Data Platform and wider engineering organisation • Manage on-call health, operational excellence, and reliability • Participate in hiring and onboarding

🎯 Requirements

• Experience managing teams of senior/experienced engineers • Track record of investing in engineers' careers • Comfortable with distributed data systems, event-driven architectures, or data infrastructure at scale • Hold yourself and your team accountable for outcomes • Clear communication and trust building across functions and time zones • Experience with distributed teams • Excited about AI and LLMs potential

🏖️ Benefits

• Reasonable accommodations during the interview process • Flexibility to work where you work best