Senior AI Data & Analytics Engineer – Agentic Analytics

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Stillfront Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🎮 Gaming

Gaming • Entertainment

Stillfront Group is a company that specializes in the development and distribution of online games. With a diverse gaming portfolio, it engages almost 50 million people each month, offering a wide range of genres including both large franchises and niche products. Stillfront focuses on creating positive gaming experiences that are digital, affordable, equal, and sustainable. The company believes in gaming as a force for good and is committed to developing games that provide rewarding hobbies, great social experiences, and strategic challenges.

📋 Description

• Build the Data Foundation • Design and operate the end-to-end gameplay analytics ecosystem. • Define tracking, storage, processing, and reporting architecture. • Own data correctness and make judgement calls when quality checks flag anomalies. • Drive AI-Native Analytics • Build the semantic layer that translates raw gameplay data into validated gameplay and business concepts. • Develop AI-driven automated reporting, dashboards, and insight-generation workflows. • Evaluate and implement AI tools, agents, and workflows that improve analytics speed, reliability, and depth. • Review AI-generated code and analytics on critical paths before they reach production. • Generate Product Intelligence • Identify opportunities, risks, anomalies, and trends across gameplay and player behavior. • Support product, balancing, design, and leadership teams with data-driven recommendations. • Translate complex datasets into clear, actionable insights. • Set the Agentic Bar • Help define how the wider engineering organization adopts agentic practices. • Establish standards for tooling, review processes, quality gates, and what "done" means when agents generate most of the implementation.

🎯 Requirements

• Several years of experience building analytics or data-driven systems in production environments, ideally in gaming or mobile. • Deep comfort with LLMs, agents, and AI-assisted engineering workflows in production environments. • Hands-on experience using agentic workflows and AI coding tools in real-world projects. • The ability to discuss concretely how you: structure prompts and context, manage autonomous and multi-agent workflows, including when to intervene, use MCP servers, custom tools, skills, or subagents, review AI-generated code and queries without becoming a bottleneck. • Strong experience working with behavioral, transactional, or event-based datasets and deriving actionable insights from complex data. • Strong Python and SQL skills. • You read and own code you did not write and verify outputs independently rather than blindly trusting generated results. • Experience designing scalable data architectures, pipelines, data models, dashboards, analytical frameworks, or automated insight-generation systems. • Familiarity with cloud-based data platforms and storage. • Strong analytical decomposition skills and the ability to translate ambiguous business questions into precise analytical problems. • Strong instinct for data quality, system reliability, and independent verification. You don't simply accept whatever the agent produces. • Comfortable operating independently, driving technical initiatives from concept to production, and owning outcomes rather than tasks. • Excellent English communication skills. • Passion for gaming. • NICE TO HAVE Gaming or mobile analytics experience (monetization, attribution, retention, LiveOps, economy). • Event-driven and streaming data architectures. • Real-time telemetry or anti-cheat / anomaly-detection systems. • Published or shared work on agentic workflows – blog posts, OSS subagents/skills, internal tooling you've open-sourced.

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities