Lead AI Data & Analytics Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Design and manage the comprehensive gameplay analytics ecosystem.

• Establish tracking, storage, processing, and reporting frameworks.

• Ensure data accuracy and make informed decisions when quality checks identify discrepancies.

• Create a semantic layer that translates raw gameplay data into validated gameplay and business concepts.

• Develop automated reporting, dashboards, and insight-generation workflows driven by AI.

• Assess and integrate AI tools, agents, and workflows to enhance analytics speed, reliability, and depth.

• Review AI-generated code and analytics on critical paths prior to production deployment.

• Detect opportunities, risks, anomalies, and trends in gameplay and player behavior.

• Provide data-driven recommendations to support product, balancing, design, and leadership teams.

• Convert complex datasets into clear, actionable insights.

• Set standards for agentic tools, review processes, quality gates, and completion criteria across engineering.

• Define the technical strategy and lead analytics and AI capabilities from concept to production.

• Guide interviewers through an agentic workflow developed and utilized for real decision-making.

⛳️ Requirements

• Successfully built an analytics or data platform from the ground up at least once, including selecting the stack, establishing the warehouse and pipelines, and deploying it to production.

• Several years of experience in developing analytics or data-driven systems within production environments, preferably in gaming or mobile sectors.

• Analytics experience with free-to-play mobile games, ideally covering the transition from soft launch to global launch.

• Proficient with LLMs, agents, and AI-assisted engineering workflows within production contexts.

• Practical experience utilizing agentic workflows and AI coding tools in real-world applications.

• Ability to articulate prompt and context structuring, autonomous and multi-agent workflows, intervention points, MCP servers, custom tools, skills, subagents, and the review of AI-generated code and queries.

• Extensive experience with behavioral, transactional, or event-based datasets and extracting actionable insights from complex data.

• Proficient in Python and SQL.

• Capable of reading and managing code not authored by you and independently validating outputs.

• Experience in designing scalable data architectures, pipelines, data models, dashboards, analytical frameworks, or automated insight-generation systems.

• Familiarity with cloud-based data platforms and storage solutions.

• Strong analytical skills and the ability to translate vague business inquiries into specific analytical challenges.

• Keen instinct for data quality, system reliability, and independent verification.

• Comfortable working autonomously and advancing technical initiatives from concept to production.

• Excellent communication skills in English.

• Passion for gaming.

• Nice to have: expertise in monetization, economy, and LiveOps analytics.

• Nice to have: knowledge of event-driven and streaming data architectures.

• Nice to have: experience with real-time telemetry or anti-cheat/anomaly-detection systems.

• Nice to have: published or shared work on agentic workflows.

🏝️ Benefits

• Fully remote work arrangement.

• International work environment.

• English as the working language.

• Long-term intellectual property growth opportunities within Stillfront Group.

• In-house collaboration across all relevant game development disciplines.