Data Engineer

Spotify's Experience team is seeking a Data Engineer to join their mission of delivering the best Spotify experience to millions of users worldwide. The role involves working with consumer experiences across mobile apps, web, TVs, speakers, cars, wearables, and partner integrations. As a Data Engineer, you'll be building structured, high-quality data solutions processing petabytes of data using GCP suite including BigQuery, Dataflow, and Pub/sub. The team is known for developing open-source software like Scio, a Scala API wrapper for Apache Beam.

The position offers the opportunity to work with cutting-edge technologies and frameworks while collaborating with cross-functional teams. You'll be responsible for building and maintaining large-scale data processing systems, improving data quality, and contributing to data-powered products that enhance user experience. The role requires expertise in languages like Python, Java, Scala, and SQL, combined with strong analytical and problem-solving skills.

Working at Spotify means joining a company that values innovation, responsible experimentation, and engineering best practices. The hybrid work environment offers flexibility while maintaining collaborative team dynamics. Whether based in Stockholm or London, you'll be part of a team that's passionate about using data to evolve products and bring better experiences to Spotify users and the global artist community.

This is an excellent opportunity for a data professional who wants to impact millions of users' daily music and audio experiences while working with some of the most advanced data processing technologies and frameworks in the industry.