Senior Data Engineer - Data Platform

Spotify
London
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["High-quality engineering practices","Continuous delivery","Automated testing","Collaborative development","Handling ambiguity"]

Build and maintain data infrastructure for Spotify’s Data Platform, focusing on collecting and consuming user behavior data at scale. Partner with product and engineering teams to design data architectures, build systems that process large datasets, and improve reliability, scalability, and usability. Enable data teams and support personalization and recommendation systems, using Java, SQL, BigQuery, and JVM data processing frameworks in a quality-driven engineering environment.

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FursaFursa
Spotify
Spotify
1 week ago

Senior Data Engineer - Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and maintain data infrastructure for Spotify’s Data Platform, focusing on collecting and consuming user behavior data at scale. Partner with product and engineering teams to design data architectures, build systems that process large datasets, and improve reliability, scalability, and usability. Enable data teams and support personalization and recommendation systems, using Java, SQL, BigQuery, and JVM data processing frameworks in a quality-driven engineering environment.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Collaborate with product and engineering teams to build and support critical data infrastructure and datasets.
  • •Build systems to collect and process user behavior data at scale.
  • •Design and evolve data architectures that support high data volumes and a broad range of internal users.
  • •Improve the reliability, scalability, and usability of Spotify’s data infrastructure.
  • •Help power personalization and recommendation systems and the tools teams use to build and test new features.

Key Requirements

  • •Experience as an experienced Data Engineer and proficiency in backend development using Java.
  • •Comfort 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.
  • •Strong engineering practices, including continuous delivery, automated testing, and data modeling/schema design.
Skills:High-quality engineering practicesContinuous deliveryAutomated testingCollaborative developmentHandling ambiguity
Tech Stack:JavaSQLBigQueryFlinkBeamDataflowSparkDevOpsCloud infrastructureContainersKubernetes

Company Brief

Spotify
Provides a music, podcast and audio streaming service offering on-demand access to millions of tracks and podcasts, personalized recommendations, and advertising and subscription-based tiers for listeners and creators worldwide.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2006
Glassdoor
Glassdoor: 4.1
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