Data Engineer - Personalization

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
The Spotify Home team is looking for a Data Engineer who is passionate about data and metrics to focus on building structured, high-quality data solutions focused on metrics, test evaluation, and building signals for others in the company. You will use data, whether derived from an offline batch context or near-real time streaming pipeline to enable timely content recommendations for Home. 
The solutions built will be used to evolve our products bringing better experiences to Spotify users and the global artist community alike. We are processing petabytes of data using tools such as BigQuery, Dataflow, and Pub/Sub. When needed, we also develop our own data tooling such as Scio, a Scala API for Apache Beam. Furthermore, we use Google's Machine Learning stack with Tensorflow and Kubeflow at the heart of our ML systems.
Above all, your work will impact the way the world experiences audio. Our organization strives to make every user session amazing through personalization and discovery.

What You'll Do

• Build datasets and/or applications to enable product and engineering to clearly understand the impact of the content recommendations created for the Home surface.
• Explore new ways of producing, processing, and analyzing data in order to gain insights into both our users and our product features.
• Reimage and reachitect how and when content should be curated, taking into consideration near-real time user signals. 
• Work with data processing frameworks, technologies, and platforms.
• Understand the high-level architecture of the organization and influence how teams implement logging/instrumentation for their features to capture high-quality data.
• Facilitate and drive collaboration with engineers, data analysts, data scientists, product managers, and other partners to explore and tackle exciting user-centric data problems.
• Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
• You’ll initiate, influence, and drive technical projects across teams within Spotify
• Facilitate collaboration between teams to solve interesting and challenging problems

Who You Are

• You are passionate about data and focus on building structured, high-quality data solutions.
• You balance long term thinking with short term iterations. Trying something then iterating and improving is our motto. 
• You have experience doing data modeling for Databases and wide datasets.
• You are proficient in Java and/or Scala, and one scripting language like Python.
• You possess a deep understanding of system design, data structures, and algorithms and the know-how to apply them to craft pragmatic solutions.
• You understand how to translate product and business goals into tech.
• You understand the value of collaboration between/within teams.
• You are comfortable with asynchronous communication, being able to work independently while always sharing context with your team members.

Where You'll Be

• We are a distributed workforce enabling our band members to find a work mode that is best for them! This team contains a mix of members who work in the NYC office, the Boston office, and remote from home or coworking locations.
• Where in the world? For this role, it can be within the Americas or European regions in which we have a work location and is within working hours.
• Working hours? We operate between the Eastern and Central European time zones for collaboration.
• Prefer an office to work from home? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

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.