Data Engineer – Financial Engineering

We are now hiring software engineers who are very enthusiastic about data to focus on building structured, high-quality data solutions. These solutions will be used to create a platform capable of handling the financial reporting for all of Spotify’s current and future revenue streams.

Using tools like BigQuery, Dataflow, Pub/Sub and Apache Beam we process millions of subscription – and payment related events on a daily basis to keep track of sales, revenue and cash in the 80+ markets where Spotify is available. We also make use of and contribute to in-house built data tools such as Scio, a Scala API for Apache Beam and Luigi, an orchestration framework for data pipelines.

What you will do

  • Explore new ways of producing, processing, and analysing data in order to gain insights into key metrics such as revenue and cash.
  • Design, develop, and test data-driven products and features that can handle millions of financial events per day
  • Work with state-of-the-art data processing frameworks, technologies, and platforms
  • Improve data quality through testing, tooling and continuously evaluating the performance
  • Work with other software engineers, business stakeholders and decision-makers, such as product managers, to build solutions and gain novel insights.
  • Act as the bridge between our technology and finance departments and reinvent outdated, monolithic financial processes
  • Work in multi-functional agile teams with end-to-end responsibility for product development and delivery
  • Work from one of our awesome offices in central Stockholm (Sweden)

Who you are

  • You don’t like leaving questions unanswered and you love exploring/understanding data
  • You care about agile software processes, data-driven development, reliability, and testability.
  • You are passionate about crafting clean code and have a steady foundation in coding and building data pipelines
  • You love visualising your data findings in a clear and easy to understand way and to capture corner cases of implementations
  • You are interested in being the glue between engineering and finance

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

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