User Fraud Senior Data Engineer

We are looking for a Senior Data Engineer to join our User Fraud team. Our mission is to accelerate Spotify’s growth by developing a system that detects, mitigates, and prevents unwanted behavior on our platform.
You will be joining a diverse team of data scientists and engineers who use machine learning, data engineering and security expertise to tackle some of the most advanced and important problems that we face. You will play an integral role in designing and implementing data pipelines with requirements for scalability and quality. You will help evolve engineering practices in the team!

What You'll Do:

• Design and build batch and real-time data pipelines with data processing tools like Scio, Google Cloud Platform, Scala, BigQuery, Luigi, Styx and Docker
• Drive optimization, testing and tooling choices to improve data and pipeline quality
• Evolve and scale out our fraud detection platform
• Collaborate with engineers, data scientists and product managers to build solutions
• Learn about the domain of abusive behavior and take part in strategizing solutions to combat such behavior
• Work in a multidisciplinary environment that provides opportunities for individual growth

Who You Are:

• BS/MS in CS or other relevant fields of study
• 5+ experience in data engineering
• Strong coding skills preferably in Scala, Java, Python and SQL
• Experience performing analysis with large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform or similar
• Experience in scheduling, developing, maintaining and orchestrating big data pipelines using state of the start technologies in the industry
• Knowledgeable regarding data modeling, data access and data storage techniques
• Strong analytical and problem solving ability
• You are an enthusiastic learner; you see unfamiliar territories as an opportunity to grow
• You value team collaboration and seek to grow the skills and knowledge of your peers
• You value building strong relationships with colleagues and stakeholders, and have the ability to explain complex topics in simple terms

Working as a data engineer in the User Fraud area will challenge your design, quality, and problem-solving skills to build robust and scalable solutions.

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 320 million users.