Senior Data Engineer - Policy & Safety

The Policy & Safety team are responsible for building the systems that keep our client safe, compliant, and trusted by millions of users and creators. This team owns the content moderation infrastructure — from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They’re on the critical path for every new content type and social feature — including messaging, comments, and collaborative experiences — ensuring safety is built in from day one. With a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You Will Do

• Support building and maintaining data pipelines for production-grade machine learning systems that power content safety and policy enforcement at large scale
• Modify the current Age Estimation system to support training and serving multiple ML models in parallel:
• Review current system architecture and suggest changes to comply with new requirements
• Implement new training and inference data components that comply with new requirements
• Make changes to the current data components to support Spotify standards: reliability, monitoring, data profiling, data security, unit/integration testing etc.
• Improve system architecture and reduce technical debt
• Migrate pipelines to distributed data processing tools (Beam) to improve performance
• Improve current monitoring: add missing counters, reconfigure alerts;
• adding missing documentation and tests;
  

Who You Are

• You have solid experience building data pipelines (preferably for machine learning systems) in production environments at scale
• You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains
• You care about building safe, responsible, and user-centric ML systems
• You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders
• You have experience leading technical projects and influencing direction within a team or product area
• You have experience with distributed systems or backend technologies
• You have experience Scala and Python Data Pipelines for ML-based systems
  
  

Start/End: 2026-06-08 to 2026-12-07

Workplace: Stockholm/Sweden