Senior Data Engineer

Spotify; London; On-site; GBP 45,000 - 70,000; Full time

Job summary

Spotify is seeking a Data Engineer for its Speak team in London, focusing on developing state-of-the-art text-to-speech models and machine learning projects. The role involves building robust data pipelines and collaborating with engineers and researchers to enhance generative AI technologies. Candidates should have experience with distributed systems and strong Python programming skills, contributing to innovative voice product solutions.

Qualifications

• Experience managing high-volume, heterogeneous data and distributed systems.
• Strong abilities in Python or Java data processing frameworks.
• Experience with pre-trained ML models is a plus.

Responsibilities

• Build large-scale speech and audio data pipelines using GCP and Apache Beam.
• Work on machine learning projects for generative AI experiences.
• Deliver scalable, maintainable, and high-quality code.

Skills

Data engineering

Python programming

Collaboration

Quality assurance

Agile software processes

Tools

Google Cloud Platform

Apache Beam

Docker

AWS

Azure

Job description

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The Speak team is Spotifies in-house text-to-speech (TTS) team, supporting products like DJ, AI Voice Translation, as well as the development of exciting new unreleased products. We focus on building world-class speech technologies that can power the next generation of personalized generative voice products at scale.

What You'll Do

• Build large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam
• Work on machine learning projects powering new generative AI experiences and helping to build state-of-the-art text-to-speech models
• Learn and 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 other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities that arise
• Deliver scalable, testable, maintainable, and high-quality code. Share knowledge, promote standard methodologies, and support your team through mentorship and constructive feedback

Who You Are

• You have data engineering experience and know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure
• You have experience with one or more higher-level Python or Java-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, Flink, etc. You have strong Python programming abilities
• Experience using pre-trained ML models is a plus
• You might have worked with Docker as well as Luigi, Airflow, or similar tools
• You care about quality and know what it means to ship high-quality code
• You have experience managing data retention policies
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• You understand the value of collaboration and partnership within teams

Where You'll Be

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