Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media

Consumer Discretionary

Founded 2006

53 open positions

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Data Engineer II - SRC - Music

1 week, 3 days ago

Europe, Middle East, Africa, United Kingdom

Full-time

Mid Level

Data Engineer

Software Development

Apache Airflow Apache Spark dbt GCP Java Python Scala Snowflake SQL

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Spotify

Media

Founded 2006

View All Jobs 53

Description

Build and maintain batch and streaming data pipelines that generate core datasets used by Spotify Rights Center.
Own end-to-end pipelines that process content segments, join rights metadata, and produce match data that drives product functionality.
Develop and evolve analytics models and reports that measure system reliability, rightsholder adoption, and business ROI.
Partner with product managers, backend engineers, and insights teams to define metrics, build dashboards, and deliver data that informs platform strategy and expansion.
Maintain data export pipelines between backend services and the data warehouse to ensure downstream consumers receive timely and accurate data.
Implement and maintain data quality practices, including validation tests, alerts, and monitoring to ensure reliable pipeline outputs.
Contribute technical solutions that support licensing, financial engineering, and content platform stakeholders.
Participate in product ideation with engineers, researchers, product managers, and domain experts and contribute to a collaborative engineering culture through hack days, reading groups, and internal training.

Requirements

Strong SQL skills and deep experience with data modeling and warehouse design.
Experience building and operating batch and streaming data pipelines at scale using frameworks such as Scio, Apache Beam, Spark, or similar.
Experience with modern cloud data warehouses such as BigQuery, Snowflake, or similar technologies.
Familiarity with analytics engineering tools like dbt and layered data modeling approaches (staging, transformation, reporting).
Experience with workflow orchestration platforms such as Flyte, Airflow, or similar systems.
Ability to write production-quality code in languages such as Scala, Python, or Java.
Experience implementing data quality practices and building monitoring and alerting systems for pipeline reliability.
Proven ownership of solutions end-to-end, from understanding business questions to deploying and validating data pipelines.
Clear communication skills for collaborating with both technical and non-technical stakeholders.
Interest in learning new domains and tackling complex data challenges such as rights management, content matching, and multi-territory licensing; must be located within the EMEA region (excluding France) and able to collaborate within Central European/GMT time zones.

Benefits

Flexible/remote work — role can be based anywhere in EMEA (excluding France) to accommodate where you work best.
Permanent employment (role listed as permanent).
Collaborative engineering culture with opportunities for continuous learning, including hack days, reading groups, and internal training.
Chance to work on a strategic, high-impact platform that supports licensing, enforcement, and analytics for Spotify’s content ecosystem.

Interested in this position?

Apply directly on the company website

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