{"id":118081,"url":"https://alion.io/job/spotify-senior-data-engineer-data-platform","title":"Senior Data Engineer - Data Platform","company":{"id":57,"name":"Spotify","domain":"spotify.com","url":"https://alion.io/company/spotify","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":86,"open_postings":14,"ghost_share":0,"stale_share":0.5,"repost_share":0.071,"time_to_fill_p50_days":51,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":189000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Flink","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-12T15:06:09Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-30T19:34:23Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"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.\nThe 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.\nWhat You'll Do\nCollaborate with product and engineering teams to build and support critical data infrastructure and datasets.\nBuild systems that collect and process user behaviour data at scale.\nHelp power Spotify’s personalization and recommendation systems, as well as the tools teams use to build and test new features.\nDesign and evolve data architectures that support high data volumes and a broad range of internal users.\nImprove the reliability, scalability, and usability of our data infrastructure.\nWork across disciplines to solve complex data challenges and make an impact across Spotify.\nWho You Are\nYou are an experienced Data Engineer, and proficient in backend development using Java.\nYou are comfortable working with large-scale datasets using SQL and platforms such as BigQuery.\nYou have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark.\nYou are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals.\nYou have experience with data modeling and schema design.\nYou care about high-quality code and engineering practices such as continuous delivery and automated testing.\nYou value experimentation, iterative development, and collaborative software development practices.\nYou are comfortable navigating ambiguity and open-ended problems, using data and sound judgment to make decisions.\nWhere You'll Be\nThis role is based in London\nWe offer you the flexibility to work where you work best! 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