Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Data Engineer - Data Platform role.
Rezi rewrites your resume against Spotify's job description. Free.
Tailor your resume to this Senior Data Engineer - Data Platform role.
Rezi rewrites your resume against Spotify's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Engineer - Data Platform posting at Spotify — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Engineer - Data Platform posting at Spotify — free, in seconds.
About the Role
The Data Platform team develops and maintains the infrastructure that supports Spotify’s data ecosystem. Within Data Platform, the Data Collection product area builds infrastructure that makes it easier to collect and consume data at scale. You’ll join a team focused on making user behaviour data seamless and reliable for data teams across Spotify.
Responsibilities
- Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
- Build systems that collect and process user behaviour data at scale.
- Help power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features.
- Design and evolve data architectures that support high data volumes and a broad range of internal users.
- Improve the reliability, scalability, and usability of our data infrastructure.
- Work across disciplines to solve complex data challenges and make an impact across Spotify.
Requirements
- Experienced Data Engineer proficient in backend development using Java.
- Comfortable working with large-scale datasets using SQL and platforms such as BigQuery.
- Experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
- Familiarity with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.
- Experience with data modeling and schema design.
- Cares about high-quality code and engineering practices such as continuous delivery and automated testing.
- Values experimentation, iterative development, and collaborative software development practices.
- Comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions.
Skills
- Java
- SQL
- BigQuery
- Flink
- Beam
- Dataflow
- Spark
- DevOps
- Cloud Infrastructure
- Containerized Applications
- Kubernetes
- Data Modeling
- Schema Design
- Continuous Delivery
- Automated Testing
Location
- London
Work Type
- Hybrid
Experience Level
- Experienced
About the Company
- The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe.
- Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
Equal Opportunity
- 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.