Data Engineer for Audio Innovation

3 days ago


Stockholm, Stockholm, Sweden Spotify Full time

Unlock the power of music and podcasting with Spotify, a platform that revolutionizes the way the world listens. As a Data Engineer for Audio Innovation, you will play a crucial role in building large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam.

The Personalization team at Spotify makes deciding what to play next easier and more enjoyable for every listener. We're behind some of our most-loved features, such as Blend and Discover Weekly. 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.

Key Responsibilities:
  • Design and implement scalable, testable, maintainable, and high-quality code for large-scale speech and audio data pipelines.
  • Collaborate with other engineers, researchers, product managers, and stakeholders to deliver innovative solutions that drive business growth.
  • Develop expertise in machine learning projects powering new generative AI experiences and helping to build state-of-the-art text-to-speech models.
  • Leverage your experience with distributed systems such as Hadoop, BigTable, Cassandra, GCP, and AWS to build robust data pipelines.
Requirements:
  • Bachelor's degree in Computer Science or related field.
  • At least 3 years of experience in software development with a focus on data engineering and machine learning.
  • Strong programming skills in Python or Java, with experience working with higher-level data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, etc.
  • Familiarity with Docker, Luigi, Airflow, or similar tools.


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