Backend Engineer - Data Platform

Stockholm💼 Full-time🗓 2026-10-01 → 2026-10-07

Core

Building a Lakehouse architecture using Apache Iceberg and managing BigQuery at Spotify scale to enable reliable, cost-efficient data storage and querying for thousands of engineers and data scientists.

Role type

Senior Backend Engineer (Data Platform)

Builds

Production-grade Lakehouse platform (Apache Iceberg) and BigQuery management tooling

Domain

Big Data / Cloud Data Warehousing / Distributed Systems

Required skills

Java or Scala, GCP, Kubernetes, Apache Iceberg, BigQuery, Spark/Beam/Flink, system design, production debugging (via careerplan.io/jobs/926149ab-6999-4058-b35d-41e302b70e05-backend-engineer-data-platform-at-spotify)

Preferred skills

Open table formats, cloud data warehouse internals, asynchronous communication

Technologies

Apache Iceberg, BigQuery, GCP, Kubernetes, Spark, Beam, Flink

Responsibilities

Build foundations for reading/writing Iceberg tables natively, migrate data pipelines to new stack, manage BigQuery reservations and capacity, debug production issues across storage formats and cloud services

Seniority

Senior, hands-on IC

About Spotify

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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replac