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Senior Data Engineer

2 months ago

London, Greater London, United Kingdom Spotify Full time
About the Role

The Speak team at Spotify is seeking a highly skilled Data Engineer to join our in-house text-to-speech (TTS) team. As a key member of our team, you will play a crucial role in building world-class speech technologies that power personalized generative voice products at scale.

Key Responsibilities
  • Design and implement large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam.
  • Work on machine learning projects that power new AI experiences and help build state-of-the-art text-to-speech models.
  • Contribute to the team's understanding of best practices and techniques for building data pipelines for large-scale generative models, including cleaning, filtering, classifying, and labeling.
  • Collaborate with engineers, researchers, product managers, and stakeholders to deliver scalable, testable, maintainable, and high-quality code.
  • Share knowledge, promote standard methodologies, and mentor team members to make the team the best version of itself.
Requirements
  • Experience with data engineering and working with high-volume, heterogeneous data, preferably with distributed systems like Hadoop, BigTable, Cassandra, GCP, AWS, or Azure.
  • Strong experience with higher-level Python or Java-based data processing frameworks like Beam, Dataflow, Crunch, Scalding, Storm, Spark, or Flink.
  • Experience with pre-trained ML models is a plus.
  • Familiarity with Docker, Luigi, Airflow, or similar tools.
  • Strong understanding of quality and the importance of shipping high-quality code.
  • Experience managing data retention policies.
  • Understanding of agile software processes, data-driven development, reliability, and responsible experimentation.
Location

This role is located in London, UK or Stockholm, Sweden.