Analytics Engineer, Trust & Safety Infrastructure, Mid-Level

Job Summary:
Spotify is investing in scalable, accountable data infrastructure to support transparency, regulatory compliance, and operational excellence across Trust & Safety. As an Analytics Engineer, you’ll play a key role in shaping the data ecosystem that powers regulatory reporting, internal analytics, and self-service tools for T&S teams and stakeholders.

Responsibilities:
• Design and maintain scalable, well-documented data models that support regulatory reporting, operational insights, and platform safety monitoring.
• Build and optimize data pipelines using tools such as dbt and BigQuery, ensuring high reliability, performance, and auditability across datasets.
• Collaborate with cross-functional partners—including product, legal, policy, and engineering—to translate compliance and transparency requirements into technical solutions.
• Establish data definitions, documentation standards, and metric conventions that improve data quality and support long-term maintainability.
• Conduct structured reviews of existing analytics infrastructure, identifying areas for improvement in performance, usability, and alignment with evolving reporting needs.
• Contribute to the development of a self-service analytics ecosystem by designing intuitive semantic layers and supporting tooling that meet the needs of a broad stakeholder base.
• Support the implementation of monitoring and validation frameworks that enable performance tracking, early detection of issues, and structured escalation paths.
• Participate in planning and strategy discussions, helping to shape the roadmap for Trust & Safety data architecture and analytics capabilities.

Qualifications:

Required:
• 3+ years of experience in analytics engineering, data engineering, or data science, ideally in regulated, safety, or compliance-oriented environments
• Advanced SQL and experience with modern data stack tools such as dbt, BigQuery, Airflow/Flyte, and version control systems (e.g., Git)
• Experience architecting clean, scalable, and testable data models to support self-service access and regulatory compliance reporting
• Familiarity with reporting and visualization tools (e.g., Looker, Tableau, or equivalent) and BI governance best practices
• Excellent cross-functional communication skills and the ability to translate technical detail into meaningful outcomes for legal, policy, and operations stakeholders
• Strong organizational awareness—you're able to anticipate reporting needs, validate assumptions, and prioritize among regulatory, operational, and strategic requirements
• Passion for transparency, safety, and building data systems that serve social good

Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, Stockholms Lan, SWE, with a team of 5001-10000 employees. The company is currently Public Company. Spotify has a track record of offering H1B sponsorships.