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Текст:
Hirify AI/Оригинал
TL;DR
Lead AI Data & Analytics Engineer (AI/game analytics): Building the end-to-end data foundation for a new mobile game, from event tracking and warehouse architecture to validated semantic models, reporting, and AI-powered analytics with an accent on agentic workflows, data correctness, and gameplay and monetization intelligence. Focus on designing greenfield pipelines, reviewing AI-generated code and queries, detecting anomalies, and translating player behavior data into production decisions.
Location: Hamburg, Germany / Europe; fully remote
Company
hirify.global develops and self-publishes data-driven, live-service strategy games in-house and is part of Stillfront Group.
What you will do
Design and operate the end-to-end gameplay analytics ecosystem for a new mobile game.
Choose and build the tracking, storage, processing, warehouse, reporting, and semantic-layer architecture from scratch.
Develop AI-driven reporting, dashboards, insight-generation workflows, and agentic analytics tools.
Review AI-generated code, queries, and analytics on critical paths while owning data correctness and quality decisions.
Identify trends, risks, opportunities, and anomalies in gameplay, monetization, attribution, and player behavior data.
Provide actionable recommendations to product, balancing, design, and leadership teams and establish standards for agentic engineering practices.
Requirements
At least one experience building an analytics or data platform from scratch, including choosing the stack, setting up the warehouse and pipelines, and taking it into production; extending an existing setup alone is not sufficient.
Several years of production experience building analytics or data-driven systems, ideally in gaming or mobile.
Experience with free-to-play mobile game analytics, ideally covering a launch from soft launch to global release and user-acquisition scaling.
Production experience with LLMs, agents, AI-assisted engineering, and agentic workflows; ability to demonstrate shipped agentic analytics used for real decisions.
Ability to explain prompt and context design, autonomous and multi-agent workflows, intervention points, MCP servers, custom tools, skills, subagents, and review of AI-generated code and queries.
Strong experience with behavioral, transactional, or event-based datasets and deriving actionable insights from complex data.
Strong Python and SQL skills, with the ability to independently read, verify, and own code and outputs.
Experience designing scalable data architectures, pipelines, data models, dashboards, analytical frameworks, or automated insight-generation systems, plus familiarity with cloud-based data platforms and storage.
Strong analytical decomposition, data-quality, reliability, independent-verification, ownership, and technical initiative skills; passion for gaming.
Excellent English communication skills; English is the working language.
Nice to have
Expertise in monetization, economy, and LiveOps analytics.
Experience with event-driven and streaming data architectures, real-time telemetry, or anti-cheat and anomaly-detection systems.
Published or shared work on agentic workflows, such as blog posts, open-source subagents or skills, or open-sourced internal tooling.
Culture & Benefits
Fully remote work is available alongside the Hamburg studio location.
Work in an in-house environment with relevant game-development disciplines under one roof.
Build a greenfield data and AI foundation with agents as part of the engineering workflow.
Work on long-term intellectual-property growth and live-service game development within Stillfront Group.
Hiring process
Walk through an agentic workflow that has actually been built and used, including its specifications, context, loop structure, failure points, detection methods, and tasks that must not be delegated unsupervised.
Bring screen shares, repositories, prompts, or other evidence of the real implementation; judgement and practical experience are emphasized over polished slides.
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