What You'll Do
- Design and build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Dataflow and BigQuery
- Help drive optimization, testing and tooling to improve data quality
- Mentor and coach other engineers on data engineering best practices
- Create, update and evangelize standards and documentation that improve the experience for people working with data at Spotify
- Collaborate with other Data, Backend and Machine Learning engineers, data scientists and managers
- Be a valued member of a multi-functional agile team that continuously experiments, iterates, and delivers on new product objectives
Who You Are
- You have a strong understanding of data systems
- You are knowledgeable and passionate about improving and building data platforms
- You have experience with Backend engineering, or an interest in developing those skills
- You are familiar with Machine Learning and would be interested in supporting the delivery of Machine Learning models into production
- You are familiar with current engineering practices such as distributed architecture
- You have experience with one or more higher-level JVM-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm or Spark
- You have experience working with Scala and Java. Python, Scio & Luigi would be an encouraged bonus
- You are curious about new technologies and finding uses and insights for all types of data
- You have the desire and ability to contribute across different disciplines
Where You'll Be
- You'll be based in Stockholm, Sweden, or London, UK
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