.png)
Build and support large-scale data infrastructure and datasets for Spotify’s user behavior data. Design data architectures, develop collection and processing systems, and improve reliability, scalability, and usability. The role supports personalization, recommendation systems, and internal data teams while requiring collaboration across product and engineering disciplines.
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.
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.
What You'll Do
- 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.
Who You Are
- You are an experienced Data Engineer, and proficient in backend development using Java.
- You are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.
- You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.
- You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.
- You have experience with data modeling and schema design.
- You care about high-quality code and engineering practices such as continuous delivery and automated testing.
- You value experimentation, iterative development, and collaborative software development practices.
- You are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions.
Where You'll Be
- This role is based in London
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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 London, England Office
London, United Kingdom
Similar Jobs
Fintech • Payments • Financial Services
Design and maintain scalable data platform infrastructure, ingestion pipelines, ETL/ELT workflows, data models, governance, reliability, and observability. Collaborate with analytics and engineering teams, support data warehouse architecture, participate in on-call incident response, document operational processes, and establish strong engineering practices for analytics and future AI capabilities.
Top Skills:
AirbyteAirflowApache IcebergCi/CdDbtDltDockerFlinkGitJavaKafkaKafka ConnectKubernetesPythonSnowflakeSQLTerraform
Healthtech
Design and build a research platform for reproducible scientific analysis, including reprocessing pipelines, evaluation harnesses, cloud compute and data access, engineering standards, CI, testing, and regulatory traceability. Partner with scientists to create usable tooling, improve research-to-software workflows, mentor junior developers, and establish the platform engineering function. The role requires deep Python and experience with reproducible scientific or quantitative workloads.
Top Skills:
AWSCiCloud ComputingCloud StorageContainerizationExperiment TrackingIec 62304Infrastructure As CodeMlopsModel RegistriesPythonSignal ProcessingTime-Series Data
Consumer Web • Gaming • Mobile • News + Entertainment • Software
Build, scale, and operate Databricks and AWS infrastructure supporting automated, reproducible machine learning workflows. The role includes infrastructure-as-code with Terraform or Pulumi, containerized platforms using Docker and Kubernetes, system architecture, reliability and cost optimization, and cross-functional collaboration with data and ML teams. The engineer will lead complex projects, improve platform scalability and usability, document systems, and mentor peers while operating production-scale data and ML platforms.
Top Skills:
AWSDatabricksDockerKubernetesMlflowPandasPulumiPythonScikit-LearnTerraform
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
