Data Engineer

We are looking for a data engineer with experience building data-intensive services and systems to join the squad. We’re a team dedicated to building the rights manager portal to support a broad range of use cases in unlocking UGC Video for the first time on Spotify. The ideal candidate will have experience in building 0-to-1 products in the music industry domain. This role will be a founding member and main driver of backend services that powers capabilities that will enable an experience for label and publisher rightholders to handle the usage of their rights-protected recordings and works within existing and new content types (e.g., videos) on the Spotify platform. Eventually as more new content types scale on the platform, you will need to help scale this system to more use cases and a larger customer base. You will have ample opportunity to grow and develop your engineering and leadership skills through project ownership with the support and mentorship of senior and staff engineers on your team. Together with the team you’ll build a supportive, inclusive team culture, ship iterative solutions against an ambitious roadmap, and have significant impact on Spotify’s company strategy and business model. You'll build large-scale batch and real-time data pipelines that undergird our Rights ecosystem with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform. You will collaborate and advise on backend services and Pubsubs to expose data for consumption by other teams. You will work with a fullstack team to build and launch backend services & data pipelines that power a new web application for our rightholders content management system for video content. Continuously assess and improve the health of the team’s data stack, driving efforts to increase reliability, observability, and efficiency. You will leverage the most efficient practices in continuous integration and delivery. You will help us prioritize and address technical debt to ensure our systems are built for speed and reliability and have the ability to scale to meet changing needs. Help drive optimization, testing, and tooling to improve data quality. Work in an environment that supports your individual growth by providing you with exciting work, the freedom to acquire new skills on hack days, reading groups, and a variety of internal training courses.