What you'll do
Data Modeling & Maintenance: Assist in maintaining scalable, well-documented dbt models that support regulatory reporting and platform safety monitoring.
Pipeline Optimization: Help build and optimize data pipelines in dbt, ensuring they meet the high standards of auditability required for compliance.
Cross-Functional Support: Collaborate with legal, policy, and engineering teams to help translate complex transparency requirements into technical data solutions.
Quality & Standards: Implement data definitions and documentation standards to improve data quality and support long-term maintainability of our safety metrics.
Technical Reviews: Participate in structured reviews of existing analytics infrastructure to identify performance improvements and alignment with reporting needs.
Self-Service Enablement: Support the development of our self-service ecosystem by contributing to intuitive semantic layers that serve a broad stakeholder base.
Monitoring: Help implement validation frameworks that enable performance tracking and early detection of data quality issues.
Who you are
Foundational Experience: 0–2 years of experience in analytics engineering or data engineering, with a strong desire to work in regulated, safety, or compliance-oriented environments.
Technical Skills: Proficiency in SQL and Python, and familiarity with modern data stack tools (such as dbt, and control versioning)
Modeling Interest: A passion for learning how to architect clean, testable data models that support complex reporting needs.
Communication: Excellent communication skills, with the ability to learn how to translate technical details for legal and policy stakeholders.
Detail-Oriented: You are able to validate assumptions and prioritize accuracy in a high-stakes environment.
Mission-Driven: You have a passion for transparency, safety, and building data systems that serve social good.
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
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What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
