Senior Data Engineer
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In this role, you design and maintain data tooling to support experimentation and model feature engineering across large player datasets. You will build cross-game data marts and reusable production-level code, partnering with game analytics to deploy tools used across applications. You’ll develop end-to-end AI pipelines and share engineering best practices with analysts. This position offers growth in a fast-paced, collaborative analytics team that directly impacts player experience and game growth.
Compensaciones / Beneficios
• Write and optimize complex SQL queries for experimentation and feature engineering on large-scale datasets
• Design, build, and maintain cross-game data marts with clean, transformed data for Analysts
• Develop scalable, reusable code, tools, and frameworks for adoption across game teams
• Partner with game analytics to co-design and maintain data tools used across multiple applications
• Build and maintain end-to-end AI pipelines supporting Analysts’ day-to-day tasks
• Educate game analysts on coding and software engineering best practices
Responsabilidades
• Advanced SQL skills (CTEs, optimization, large-scale data warehouses)
• Experience building/maintaining production data pipelines with Airflow, Docker, S3, CI/CD
• Advanced Python for production-level data analytics solutions
• Basic to intermediate experience integrating LLMs or xghoner generative AI tools
• Collaborative team player with strong communication, proactive in ambiguous environments
• Detail-oriented with focus on accuracy and quality, pragmatic about short-term needs vs long-term quality
Requisitos principales
• Hybrid working from home/office
• Relocation support
• 25 days annual leave + 5 days at Christmas
• Private medical insurance for you and family
• Device selection on joining (iOS/Android)
• Language lessons
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