Associate Analytics Engineer at spotify

<div>Spotify is investing in scalable, accountable data infrastructure to support transparency, regulatory compliance, and operational excellence across Trust &amp; Safety (T&amp;S). As an <strong>Associate Analytics Engineer</strong>, you will play a vital role in building and maintaining the data ecosystem that powers regulatory reporting and internal analytics. You will work at the intersection of data engineering, data science, and policy—transforming raw logs into reliable, accessible insights that protect our platform and its users.</div> 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.