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Data Engineering Manager - Platform and Partner Experience

Spotify
On-site
London

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.


We are seeking a motivated and experienced Data Engineering Manager to lead a team within our Partner and Platform Experience studio. This team is at the heart of how we power insights and product experiences from data across some of Spotify’s most widely used devices, features and technology partnerships.  If you're excited by team leadership and owning and developing data systems that help us understand user experience - whilst being close to cutting-edge digital product development - this is the role for you.


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What You’ll Do
  • Lead and coach a team of Data Engineers working on high-impact products and data infrastructure
  • Set and deliver the team’s roadmap in close collaboration with Data Science Managers, Product Managers, and other Engineering Managers 
  • Identify & deliver (via your team) new opportunities for data engineering to support product improvements & features
  • Maintain and evolve our existing data pipelines and internal data products
  • Foster a collaborative, inclusive, and high-trust engineering culture
  • Influence and support the development of the technical architecture of the team’s stack, including identifying opportunities to use emerging technologies (e.g. AI) to improve processes and drive efficiencies
  • Champion data quality and best practices across the Studio


Who You Are
  • An experienced data engineering manager and people leader
  • Confident managing stakeholders across multiple levels, and a strong collaborator with data science teams
  • Excellent at influencing without authority and being an effective communicator (both written and verbal)
  • Passionate about growing both people and systems, building teams and technical foundations that scale
  • Empathetic towards stakeholder needs and comfortable translating these into technical requirements
  • Ideally proficient in some or all of the following technologies: SQL/dbt, Scala, Java, Python and Google Cloud Platform 
  • Have a background in Computer Science with specific Data Engineering experience. Some product management experience would be a bonus.


Where You'll Be
  • This role is based in London or Stockholm
  • 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.


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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 transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.