Data Engineer - Data and Metrics

The Data & Metrics team within the Financial Engineering mission builds data products and platforms that influence the future path of the Finance organization and Spotify as a company. You'll be working on a vast data ecosystem that drives Spotify’s revenue recognition from subscriptions and ads, forecasting algorithms and financial performance measurement and analysis. You will have a direct impact on the future of Spotify’s global business and product decisions!
As a data engineer within Data & Metrics, you will be involved in building data platforms at scale to tackle business and technical use cases, leading epics and work-streams along the way. We use the Google Cloud Platform and technologies such as Big Query, Scala, Scio and Docker. You will work with the data science, product and analytics community to build various insights around financial performance analysis, key metrics creation and monitoring, and forecasting workstreams.

What you will do

• Closely work with product managers and business partners to come up with innovative ideas and engineering solutions to solve complex financial workflows.
• Define data models that tie together fragmented data across the entire organization
• Design and implement a large scale data ecosystem for all Financial stakeholders using Spotify best practices.
• May come across a need to design, implement and maintain ETL pipelines.
• Who you are
• Have a degree in Computer Science or a similar field.
• 3+ years of professional software engineering and programming experience (SQL, Java, C++, Scala, Python)
• 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems
• Strong analytical and problem solving ability with advanced written and verbal communication skills
• Advanced coding skills, experience in distributed systems, functional principles & performance optimization
• T-Shaped. Your primary area is data engineering but you are comfortable with second area such as data presentation, backend engineering or front-end development
• Comfortable communicating with stakeholders (customers, product managers, C-level management)
• Professional experience working in an agile environment
• Comfortable with tackling very loosely defined problems, especially when working on a team which has autonomy in their day to day decision
• Have performed analysis of large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform
• Experience with Google Cloud Platform is beneficial
• Experience in mentoring and leading junior engineers is a plus

Where you'll be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Europe region in which we have a work location
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
• Working hours? We operate within the Central European Time zone for collaboration

Spotify is an equal opportunity employer. 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 381 million users.