FAQs
What is the primary mission of the Financial Engineering team at Spotify?
The primary mission of the Financial Engineering team is to create trusted financial abstractions that make complexity manageable and insight actionable, supporting strategic decision-making across the company.
What type of datasets will I be working on as a Junior Data Engineer?
You will be building core datasets that represent key financial domains such as Premium, Ads, and Royalties.
What kind of data processing frameworks should I be familiar with?
You should be skilled with higher-level JVM-based frameworks, such as Flink, Beam, Dataflow, or Spark.
Will I be working alone or collaborating with others in this role?
You will collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products.
What cloud platform experience is preferred for this position?
Proficiency with large-scale data processing in Google Cloud Platform is preferred.
What skill related to data do you expect from applicants?
Applicants should have strong data modeling capabilities and treat data as a product.
Is there an emphasis on code quality in this role?
Yes, there is a commitment to writing high-quality, maintainable code and building robust data pipelines.
What is the work environment like for this role?
This role is based in London, United Kingdom, offering flexibility for remote work in a hybrid format.
How many records will the data pipelines I work on be processing?
You will design and operate scalable pipelines that process billions of records.
Is mentorship part of the role?
Yes, leveraging mentorship and constructive feedback is encouraged to foster accountability, growth, and collaboration within the team.