Data Engineer - Financial Engineering

Spotify's Financial Engineering team is pivotal in supporting Spotify's ambitious goal to expand its premium offerings and ads business. By crafting trusted and insightful financial data, our team ensures that Spotify makes data-driven decisions that fuel our global growth strategies.

As a Data Engineer in the Financial Engineering team, you will play a meaningful role in curating, producing, and managing core financial data products. These high-quality datasets, derived from ads, content, subscriptions, and partnerships, enable crucial initiatives such as experimentation, forecasting, financial reporting, and financial planning. You will also be instrumental in building a great foundation for our trusted data layer and understanding its distribution channels to better serve our consumers' needs.

Your responsibilities will include:

• Developing a deep understanding of how our financial data is used by different consumer bases, tailoring our core data products to meet diverse needs
• Building sources of truth for financial transactions and enriching business decisions with foundational financial context
• Designing, prototyping, and building data pipelines that process billions of data points
• Advocating for and implementing standard processes around data quality and engineering
• Applying product thinking to data: managing the data product lifecycle from sourcing to documentation and exposition, always prioritizing consumers' success and experience
• Partnering with engineers, data scientists, finance and business teams to build flexible and intuitive data products supporting Spotify globally
• Defining data models that serve as interfaces to financial domains for the rest of the company
• Leveraging mentorship and constructive feedback to drive accountability and growth within the team

The ideal candidate should have:

• Experience with Data Processing Frameworks like Flink, Beam, Dataflow, or Spark
• Comfort with ambiguity and solving loosely defined problems
• Skills in Cloud-based Environments, preferably Google Cloud Platform
• Strong analytical and problem-solving abilities
• Knowledge of Data Modeling
• Passion for clean code and solid foundation in coding and building data pipelines
• Natural curiosity and love for exploring and understanding data
• Comfort working with large datasets using SQL and data analytics platforms like BigQuery
• Excellent collaboration skills and experience building relationships with diverse customers

Join Spotify's Financial Engineering team and be part of a company that's shaping the future of music streaming and digital content delivery!