The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
The Analytics Platform product area, helps Spotify drive the business and products forward through the use of data and insights. Its mission: Enable Spotifiers to discover, analyze, and amplify one of Spotify’s most valuable assets: data.
Analytics Platforms has a number of different offerings: infrastructure, products, education, enablement, support. Some examples are:
BigQuery runner: a data processing tool that allows you to create, schedule, and run BigQuery queries using query templates
Platformized support for dbt
Metrics Hub: a central repository where metrics are transparently defined and calculated, and made accessible to other insights tools
Semantic Layer: a data modeling layer on top of the many Spotify datasets that allows to dynamically query and define metrics based on smaller building blocks
Dashboarding tools support: Tableau and Looker Studio
Dashboard portal: a hub for all dashboards at Spotify enriched with metadata.
As an engineer in the team you will get to work and develop most of the above products.
Design and implement high-scale services within the analytics domain
Work across the full stack (backend, frontend, data) to bring features and solutions to life, although you will have a focus on backend
Be a valued member of an autonomous, multi-functional team and contribute to growing the skills and knowledge of your peers
Facilitate the collaboration with other specialists, product owners, and designers to ensure we deliver the maximum value to our customers.
You have several years of experience in architecting, designing, developing and maintaining backend services and operating infrastructure at a scale
You are highly skilled in core software engineering and have excellent coding skills in Java and also good knowledge in Python
You fluently understand core data modeling concepts such as measures, dimensions
You are deeply familiar with SQL-like languages and relational databases (nice to have experience with cloud warehouses, e.g. BigQuery)
You are proactive in your communication, value team collaboration and healthy debate
You have experience working in a high-ambiguity environment where taking initiative is expected - maybe you have been an early employee at a startup.
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
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.
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.