![]() You have experience building large scale data pipelinesFluent in Scala.Provide data modelling and schema design support to our data producers - is the dataset easy to consume? What are the considerations around denormalization vs normalization, should the dataset be split or should it be joined with another dataset, and other such interesting architectural problems.Work in multi-functional agile teams to continuously experiment, iterate and deliver on new datasets.Collaborate with other data engineers and data scientists, taking learning and leadership opportunities that will arise every single day. ![]() Help drive optimization, testing and tooling to improve data quality.Use best practices in continuous integration and delivery.Help create standards and best practices around data production and creation.Work closely with our data producers and help them create high quality and scalable data pipelines.Above all, your work will influence the way people experience music. If you are concerned with data productivity and quality issues and are always pushing the bar on data quality, this is a great opportunity for you! You will get to partner with our data producers and help improve the quality and ease of use of their datasets. You will be ensuring that hundreds of engineers and data scientists can feel confident in the data that they produce, so that they can continue to build data-driven solutions and bring music and digital media experiences to our 200 million active users and millions of artists. You will help scale Spotify’s data quality initiative and help Spotify become world-class when working with data. Spotify is looking for a Senior Data Engineer to join us.
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