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Senior Data Engineer - Financial Data Platform

Spotify•Engineering

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United Kingdom·Hybrid

Full-time

Senior

about 1 month ago

Python Java Scala SQL GCP BigQuery Apache Flink

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About this role

Financial Engineering builds the platforms and tools that power Finance and enable strategic decisions across Spotify. Within this group, the Financial Data Platform team turns messy, fragmented realities into clean, reusable foundations. We partner closely with Finance, Product, and Data teams to shape the financial datasets and abstractions that unlock clarity, trust, and scale across the company. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and tools that empower others to produce and trust financial data at scale.

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Requirements

You are comfortable working with Python, Java, or Scala and use them to build reliable, maintainable data pipelines.
You know how to work with higher-level JVM-based processing frameworks such as Flink, Beam, Dataflow, or Spark.
You are comfortable navigating ambiguity and moving forward when problem spaces are loosely defined.
You are experienced in large-scale cloud-based data processing, ideally in Google Cloud Platform.
You have strong analytical skills and communicate insights clearly across technical and non-technical audiences.
You care about thoughtful data modeling and treat data as a long-lived product.
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About Spotify

With Spotify, it's easy to find the right music for every moment - on your phone, your computer, your tablet and more. There are millions of tracks on Spotify. So whether you're working out, partying or relaxing, the right music is always at your fingertips. Choose what you want to listen to, or let Spotify surprise you. You can also browse through the music collections of friends, artists, and celebrities, or create a radio station and just sit back. Soundtrack your life with Spotify. Subscribe or listen for free.

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