Goodgame Studios · Hamburg
Apply on Goodgame Studios’s site →Lead AI Data & Analytics Engineer - Goodgame Studios
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"title": "Lead AI Data & Analytics Engineer",
"description": " Build the Data Foundation for a New Mobile Game! We re not looking for someone who has "built a dashboard". And we re not looking for someone who keeps an existing data stack running. We re looking for someone who already uses agentic workflows as a core part of how they work: Claude Code, Codex, Cursor, custom agents, MCP servers, skills, planning loops, review gates, and AI-assisted engineering. Someone with strong opinions on which AI workflows hold up in production and which fall apart when real decisions depend on the numbers.
This is a greenfield build. Our new mobile game is heading into launch, and there is no data warehouse yet. You will choose the stack, set it up, and build the analytics foundation from the first tracked event to the first board-level KPI, with agents as your team. You ll define how gameplay, monetization, attribution, and player behavior data are collected, structured, and transformed into trustworthy insights, automated reporting, and AI-powered analytics tools.
You will work at the intersection of AI, analytics, and game development, building the data foundation of a new game from scratch. You ll define its technical direction and drive the evolution of its analytics and AI capabilities from concept to production.
Unlike a traditional analytics role, you ll use agents to dramatically increase your throughput while remaining the architect, reviewer, and final owner of correctness. The agents generate volume; you provide judgement. If you have been waiting for the chance to design analytics the way it should work with agentic AI, instead of retrofitting AI onto a legacy setup, this is it.
YOUR MISSION 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.
YOUR BACKSTORY You have built an analytics or data platform from scratch at least once: choosing the stack, setting up the warehouse and pipelines, and taking it into production. Running or extending an existing setup alone is not enough.
Several years of experience building analytics or data-driven systems in production environments, ideally in gaming or mobile.
Analytics experience on free-to-play mobile games, ideally including a launch (soft launch to global). You know what the data has to answer in the weeks around launch and UA scaling.
AI-first is how you already work today, not something you plan to learn. 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. You can show agentic analytics work you ve shipped and used for real decisions.
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. You bring the drive to build something new at high speed, and you push it forward without waiting to be asked.
Excellent English communication skills.
Passion for gaming.
Nice to have Depth in monetization, economy, and LiveOps analytics.
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.
HOW WE INTERVIEW Expect to walk us through an agentic workflow you ve actually built and used – the specs and context you feed it, how you structure the loop, where it breaks, how you catch it, and what you d never let an agent do unsupervised on data people make decisions from. Bring screen-shares, repos, prompts, whatever shows the real thing. We re more interested in your judgement and battle scars than in polished slides.
Goodgame Studios is known for data-driven game development and successful live-service strategy titles. We self-publish our games in-house with all relevant disciplines under one roof. Our studio is based in Hamburg, Germany, and we welcome applications from international candidates. English is our working language. As part of Stillfront Group , one of Europe s leading game publishers with 200M+ registered players, an €1B+ in lifetime revenue, we work on long-term IP growth with a strong focus on execution.
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Hamburg (Borselstraße 20)
Fully Remote
Lead AI Data & Analytics Engineer
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Build the Data Foundation for a New Mobile Game! We're not looking for someone who has "built a dashboard". And we're not looking for someone who keeps an existing data stack running. We're looking for someone who already uses agentic workflows as a core part of how they work: Claude Code, Codex, Cursor, custom agents, MCP servers, skills, planning loops, review gates, and AI-assisted engineering. Someone with strong opinions on which AI workflows hold up in production and which fall apart when real decisions depend on the numbers.
This is a greenfield build. Our new mobile game is heading into launch, and there is no data warehouse yet. You will choose the stack, set it up, and build the analytics foundation from the first tracked event to the first board-level KPI, with agents as your team. You'll define how gameplay, monetization, attribution, and player behavior data are collected, structured, and transformed into trustworthy insights, automated reporting, and AI-powered analytics tools.
You will work at the intersection of AI, analytics, and game development, building the data foundation of a new game from scratch. You'll define its technical direction and drive the evolution of its analytics and AI capabilities from concept to production.
Unlike a traditional analytics role, you'll use agents to dramatically increase your throughput while remaining the architect, reviewer, and final owner of correctness. The agents generate volume; you provide judgement. If you have been waiting for the chance to design analytics the way it should work with agentic AI, instead of retrofitting AI onto a legacy setup, this is it.
YOUR MISSION 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.
YOUR BACKSTORY You have built an analytics or data platform from scratch at least once: choosing the stack, setting up the warehouse and pipelines, and taking it into production. Running or extending an existing setup alone is not enough.
Several years of experience building analytics or data-driven systems in production environments, ideally in gaming or mobile.
Analytics experience on free-to-play mobile games, ideally including a launch (soft launch to global). You know what the data has to answer in the weeks around launch and UA scaling.
AI-first is how you already work today, not something you plan to learn. 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. You can show agentic analytics work you've shipped and used for real decisions.
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. You bring the drive to build something new at high speed, and you push it forward without waiting to be asked.
Excellent English communication skills.
Passion for gaming.
Nice to have Depth in monetization, economy, and LiveOps analytics.
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.
HOW WE INTERVIEW Expect to walk us through an agentic workflow you've actually built and used – the specs and context you feed it, how you structure the loop, where it breaks, how you catch it, and what you'd never let an agent do unsupervised on data people make decisions from. Bring screen-shares, repos, prompts, whatever shows the real thing. We're more interested in your judgement and battle scars than in polished slides.
Goodgame Studios is known for data-driven game development and successful live-service strategy titles. We self-publish our games in-house with all relevant disciplines under one roof. Our studio is based in Hamburg, Germany, and we welcome applications from international candidates. English is our working language. As part of Stillfront Group , one of Europe's leading game publishers with 200M+ registered players, an €1B+ in lifetime revenue, we work on long-term IP growth with a strong focus on execution.
Location
Hamburg (Borselstraße 20)
Remote status
Fully Remote
Studios
Goodgame Studios
Employment contracts
Full time
Contact
Margarita Kremhöller
Senior Talent Acquisition Partner
–
Human Resources
Our Hiring Journey
📝Apply & Start Your Journey
🔍CV Review & First Connection
🤝Meet the Hiring Manager
🧠Technical / Role-Specific Interview
👥Meet the Team
🎯Final Conversation with Leadership
📄Contract Preparation
🎉Welcome on Board
FAQ
Do you provide internship for students?
Yes! We do offer internships when positions are available. 🚀 All open internship opportunities are published on our Careers page, so make sure to check it regularly for the latest openings.
Is it necessary to have a cover letter when applying for a position?
Nope — a cover letter is not mandatory unless it’s specifically requested in the job posting. ✉️ That said, adding one is always a plus! It’s a great way to show your motivation and highlight relevant experience for the role.
Can I apply for multiple positions?
Yes, absolutely! 🎮 You can apply for as many positions as you think are a good fit. Each application will be reviewed separately based on its own requirements and qualifications.
How long does the review process typically take?
The review process can vary depending on the role — you can find more details in the job ad 📝 We receive a high volume of applications every day and carefully review each one to make sure everyone gets a fair and thorough evaluation. Every application is reviewed by our Talent Acquisition team, and we aim to get back to you with feedback as soon as possible 🚀
How can I learn about job openings and new opportunities?
You can stay up to date with all our latest job openings by checking our Careers page 🎮 And don’t miss out — by using Connect , you can sign up to get notified as soon as new roles that match your profile go live 🚀
What if I need to reschedule an interview?
No worries — things happen 📅 If the scheduled time doesn’t suit you, you can easily reschedule using the invitation link you received (at least 24 hours before the meeting).
Connect with us
Connect
Hamburg (Borselstraße 20)
About Goodgame Studios
Goodgame Studios is a leading free-to-play, online games development company active on web and mobile platforms. We self-publish our games in-house and have all relevant professions under one roof: Game Development, Quality Assurance, Community Management and Customer Support to Business Development, Marketing, Analytics and Central IT services. These departments work hand in hand to provide quality gaming experiences to over 200 million registered users worldwide.
Goodgame Studios is part of Stillfront. Stillfront is a global gaming company with 1200+ employees. We develop a wide range of digital games that attract over 40 million players each month. From well-established franchises like Supremacy, Big Farm, and BitLife to niche games, we span many different genres, including strategy, simulation, RPG and action, and casual and mash-up games.
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Hamburg (Borselstraße 20)
Fully Remote
Lead AI Data & Analytics Engineer
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