
Senior AI Data & Analytics Engineer
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in Germany.
• Establish the Data Foundation
• Design and manage the comprehensive gameplay analytics ecosystem.
• Define the architecture for tracking, storage, processing, and reporting.
• Ensure data accuracy and make informed decisions when quality checks identify anomalies.
• Propel AI-Native Analytics
• Construct the semantic layer that converts raw gameplay data into validated gameplay and business concepts.
• Create AI-driven automated reporting, dashboards, and workflows for insight generation.
• Assess and implement AI tools, agents, and workflows that enhance the speed, reliability, and depth of analytics.
• Review AI-generated code and analytics on critical paths prior to production release.
• Generate Product Intelligence
• Recognize opportunities, risks, anomalies, and trends within gameplay and player behavior.
• Assist product, balancing, design, and leadership teams with data-informed recommendations.
• Convert complex datasets into clear, actionable insights.
• Set the Agentic Bar
• Contribute to defining how the broader engineering organization adopts agentic practices.
• Establish benchmarks for tooling, review processes, quality gates, and define what 'done' signifies when agents are responsible for most of the implementation.
• Several years of experience in developing analytics or data-driven systems in production settings, preferably in gaming or mobile.
• Profound familiarity with LLMs, agents, and AI-assisted engineering workflows in production environments.
• Practical experience applying agentic workflows and AI coding tools in real-world projects.
• Extensive experience working with behavioral, transactional, or event-based datasets and extracting actionable insights from complex data.
• Proficient in Python and SQL.
• Experience in designing scalable data architectures, pipelines, data models, dashboards, analytical frameworks, or automated insight-generation systems.
• Knowledge of cloud-based data platforms and storage solutions.
• Strong analytical decomposition skills with the ability to turn ambiguous business questions into specific analytical challenges.
• Keen instinct for data quality, system reliability, and independent verification.
• Comfortable working autonomously, driving technical initiatives from inception to production, and taking ownership of outcomes instead of merely tasks.
• Excellent communication skills in English.
• A strong passion for gaming.
• Flexible work arrangements
• Opportunities for professional development
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