Data Engineer - Royalties and Reporting (PayDay)
Stockholm
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!Our mission is to enable millions of creators to live off their art.
Our teams are using open-source technologies to deliver business-critical datasets, key company metrics, and reports.
As a Data Engineer in our product area, you will collaborate with other specialists, Product Managers, and internal business partners to deliver solutions for a complex business domain. Our engineers build highly scalable data pipelines and are responsible for processing huge volumes of business-critical data.
What you'll do
- Build robust data pipelines using BigQuery, Scio, Flyte, Scala, and Python.
- Engage in a collaborative environment in order to deliver value to our users and support company-wide initiatives.
- Define data models that tie together fragmented data across the entire organization.
- Write robust, scalable, and maintainable software that transforms large volumes of data into business-critical reports and datasets.
Who you are
- Have experience with SQL (beyond CRUD) and data modeling principles.
- Experience with large-scale data processing in a distributed environment. We use Map Reduce frameworks (Hadoop, Beam, Crunch, Scalding, Storm, Spark, etc).
- Understands Functional Programming concepts. We value knowledge with an FP-centric language (Scala, F#, Haskell, etc).
- Experience operating in a cloud-based environment like Google Cloud Platform, Amazon Web Services, Microsoft Azure, or similar.
- Interested in agile software processes, data-informed development, reliability, and responsible experimentation.
- Strive to deliver high-quality systems through the best engineering practices when it comes to coding, testing, and documentation.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? This role can be within the EMEA region in which we have a work location.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the CET time zone for collaboration.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure BigQuery Data pipelines Engineering Finance GCP Google Cloud Hadoop Haskell Map Reduce Pipelines Python Scala Spark SQL Streaming Testing
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