Data Engineer
Financial Engineering

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• Engineering

• Data

Locations

• London
• Stockholm

Job type

Permanent

What You'll Do

• Develop a deep understanding of how our financial data is used by different consumer bases, tailoring our core data products to meet diverse needs
• Build sources of truth for financial transactions and enrich business decisions with foundational financial context
• Design, prototype, and build data pipelines that process billions of data points
• Advocate for and implement standard processes around data quality and engineering
• Apply product thinking to data: manage the data product lifecycle from sourcing to documentation and exposition, always prioritizing consumers’ success and experience
• Partner with engineers, data scientists, finance and business teams to build flexible and intuitive data products supporting Spotify globally
• Define data models that serve as interfaces to financial domains for the rest of the company
• Leverage mentorship and constructive feedback to drive accountability and growth within the team

Who You Are

• You are experienced with Data Processing Frameworks: You have experience with one or more higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark
• You are comfortable with Ambiguity: You are adept at solving loosely defined problems, particularly when working within a team that has autonomy in its day-to-day decisions.
• You are skilled in Cloud-based Environments: You have performed analysis of large datasets in a cloud-based environment, preferably with an understanding of Google Cloud Platform
• You have strong analytical skills: You possess strong analytical and problem-solving abilities, coupled with written and verbal communication skills
• You are knowledgeable about Data Modeling: You treat data as a product and know how to use data modeling
• You are passionate about Clean Code: You care about crafting clean code and have a solid foundation in coding and building data pipelines
• You are curious and inquisitive: You have a natural curiosity and love exploring and understanding data, never leaving questions unanswered
• You are skilled in large-scale data processing: You are comfortable working with large datasets using SQL and data analytics platforms such as BigQuery
• You are an excellent collaborator: You value teamwork and have experience building relationships with diverse customers

Where You'll Be

• You'll be based in London, UK, or Stockholm, Sweden

Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Learn about life at Spotify

You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

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 with a community of more than 500 million users.