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.
Spotify is looking for an Analytics Engineer for Content Platform. Content Platform is a central enabler for Spotify. Together, our teams ensure that Spotify has a complete, available and enriched catalog of music, podcasts, videos and more. We provide insights and understanding of artists and their content, attributes, and relationships. We ensure that we can effectively moderate and control our catalog to provide a safe and trusted experience for consumers and artists to keep our system free of infringement.
The position will partner closely with teams of data scientists across four product areas within Content Platform to drive the adoption of best practices in dataset creation and curation and will be actively involved in the development of research projects. Their collaborators will also include teams of engineers, in particular to ensure that the data that the product insights teams need is properly logged.What You'll Do- Engineer lasting solutions for surfacing critical data that helps us understand our platform.
- Build and be responsible for the analytics layer of our team’s data environment, making data standardized, easily accessible and high quality.
- Collaborate with, and mentor, data scientists in building scalable analyses and datasets.
- Contribute to the development of the Product Insights function and the wider data science community at Spotify.
Who You Are- You are a communicative person who values building strong relationships with colleagues and partners, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms.
- You have extensive experience in a similar data science, data engineering, or data modelling role.
- Significant experience in designing analytical data layers and in conducting ETL with large and complex data sets.
- Experience with GCP tooling and systems would be a plus.
- Knowledgeable in data modelling, data access and data storage techniques.
- High level of ability in SQL and Python.
Where You'll Be- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be inUnited Kingdomwhere we have work locations.
- We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours.
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.