Senior Software Engineer – Data, Metrics, Royalties and Fraud

Stockholm, Sweden


Google C Docker Java Python Scala

No further applications

We are looking for an experienced software engineer to join our Financial Engineering organisation. Our mission is to build the technical platform that underpins our key company decisions, revenue and royalty calculations, financial performance management and our ability to scale out to new markets and products. As a software engineer for our data products, you will join a team of experienced software engineers and data scientists. Some of the challenges we tackle are:

  • Design and implement complex logic for calculating royalties from  many products and hundreds of tailor-made license contracts
  • Design large scale data pipelines (billions and billions of data points) that can retrospectively correct metrics over a long period of time without reprocessing huge amounts of data
  • Design, implement and operate our company core datasets that have extreme requirements on scalability, flexibility, and quality
  • Evolve and scale our fraud platform by developing rules and machine learning models that detect and continuously adapt to ever-shifting behaviors, swiftly mitigating their effects on the company.
  • Continuously consume and produce massive amounts of data while optimising for speed, accuracy, and quality
  • Innovate our data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders from Spotify feature teams to our ad sales organisation

Above all, working as a software engineer in Financial Engineering will challenge your design, quality and problem-solving skills to build robust, highly distributed and scalable data processing systems and pipelines.

What you will do

  • Apply your expertise in software engineering to design and implement data products that meet extreme requirements on quality and scalability
  • Work closely with cross-functional teams of data and backend engineers, scientists, user researchers, product managers, and designers
  • Research and Innovate what fuels many of Spotify’s critical financial systems and product features such as Daily Mixes and Royalty calculations
  • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
  • Getting hands-on experience with Google Cloud Platform and technology/languages such as BigQuery, Scala, Scio and Docker
  • Working hand-in-hand with the data science community to understand various user or content trends that influence product changes and customer acquisition strategies
  • Cross-departmental exposure and flexibility to engage with many teams in the company – both in Stockholm and New York
  • Communicate insights and recommendations to key stakeholders, engineering and product partners

Who you are

  • BSc in Computer Science or equivalent
  • 4+ years of professional software engineering and programming experience (Java, C++, Scala)
  • 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems
  • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
  • Professional experience working in an agile environment
  • Strong analytical and problem-solving ability
  • Strong written and verbal communication skills
  • Experience in operating and maintaining production grade software
  • Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions

Preferred Skills

  • Master’s degree in Computer Science or Electrical Engineering
  • Deep knowledge of software engineering best practices
  • Experience in mentoring and leading junior engineers
  • Experience in serving as the technical lead for complex software development projects
  • Experience with large scale distributed data technologies and tools
  • Strong coding skills for analytics and data engineering (Scala, Java, and Python)
  • Experience performing analysis with large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform
  • T-Shaped. Your primary area is data engineering but you are comfortable working in a second area such as data presentation, backend engineering or front-end development
  • Experience working in a large scale, global consumer product company, in an engineering or insights role
  • Understands how to translate business requirements to technical architectures and designs
  • Comfortable communicating with stakeholders (customers, product managers, C-level management)

We are proud to foster a workplace free from discrimination. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and our creators. This is something we value deeply and we encourage everyone to come be a part of changing the way the world listens to music.

Today, Spotify is the world’s most popular music streaming service with a community of 217m active users, including 100m subscribers across 79 markets. We are the largest driver of revenue to the music business today.