Senior Data Engineer, Auction Intelligence at spotify

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators. Within this space, the Auction Intelligence team sits at the heart of Spotify’s advertising ecosystem. We build and evolve the machine learning models that power our ads auction—helping deliver the right ad to the right user while enabling advertisers to invest effectively. As a Senior Data Engineer, you’ll play a key role in building the data foundations that power these systems at scale. What You'll Do: • Design, build, and maintain scalable batch and streaming data pipelines using tools like Scio and GCP (BigQuery, Dataflow, GCS) • Develop high-throughput, low-latency pipelines that support use cases such as budget pacing, campaign performance prediction, and auction bidding • Partner closely with machine learning engineers and senior engineers to build data foundations for ML-driven products • Improve data quality, reliability, and observability across pipelines to support critical business decisions • Contribute to architecture and design decisions, balancing long-term scalability with practical delivery • Write clean, maintainable, and well-tested code aligned with Spotify’s engineering practices • Collaborate across functions with product managers, engineers, and stakeholders to deliver impactful solutions Who You Are: • You have experience building and operating distributed data pipelines in production environments at scale • You are experienced with data technologies such as BigQuery, Bigtable, or similar systems • You write production-quality code in Java and/or Scala and have worked with frameworks like Scio or similar • You have worked with orchestration tools such as Flyte, Styx, or comparable systems • You are comfortable working with both batch and streaming data processing • You approach problems with curiosity and use data to guide decisions and improvements • You communicate clearly and collaborate effectively across technical and non-technical teams • You are interested in working closely with machine learning systems or backend services Where You'll Do: • We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location. • This team operates within the Eastern time zone for collaboration. The United States base range for this position is $164,448- $234,926, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future. 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. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. 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.