CareerPlan

Lead AI Data & Analytics Engineer

Hamburg, DEFull-time2026-10-29 → 2026-11-10
On-site

Core

Build the data foundation and analytics ecosystem for a new mobile game from scratch, using agentic AI workflows to design tracking, storage, processing, and reporting architectures.

Role type

Lead AI Data & Analytics Engineer (Greenfield Build)

Builds

End-to-end gameplay analytics ecosystem, semantic layers, AI-driven automated reporting, and insight-generation workflows for a new mobile game.

Domain

Mobile Gaming / Data Engineering / AI

Required skills

Agentic workflows (Claude Code, Cursor, MCP servers), Python, SQL, Data architecture design, Data modeling, AI tool evaluation, Behavioral data analysis, Cloud data platforms, Analytical decomposition, Data quality verification.

Preferred skills

Free-to-play mobile game analytics, Monetization/LiveOps analytics, Real-time telemetry, Event-driven architectures, Open-sourced agentic tools.

Responsibilities

Design and operate the end-to-end gameplay analytics ecosystem; Define tracking, storage, processing, and reporting architecture; Build the semantic layer translating raw data into business concepts; Develop AI-driven automated reporting and insight-generation workflows; Identify opportunities, risks, and trends in player behavior; Help define agentic practices for the wider engineering organization.

Seniority

Senior, hands-on IC