Senior Analytics Engineer

Experteer Overview As Analytics Engineer in Socialpoint’s Central Analytics, you will design and optimize data systems to support experimentation and feature engineering across our games. You’ll build cross-game data marts and scalable data tooling, collaborating with game analytics to deliver solutions that drive growth. You’ll also create AI-powered workflows and share best practices to uplift the analytics discipline. This role offers hands-on impact in a fast-paced, learning-focused environment. Pay / Benefits * Write and optimize complex SQL queries to support experimentation and feature engineering on large player datasets * Design, build, and maintain cross-game data marts with clean, transformed data for Analysts * Develop scalable, reusable code, tools, and frameworks adopted across game teams * Partner with game analytics teams to design and maintain data tools used across applications * Build and maintain end-to-end AI pipelines to support Analysts’ day-to-day tasks * Share knowledge by educating analysts on coding and software engineering best practices Tasks * Advanced SQL skills (CTEs, optimization, large-scale data warehouses) * Experience building/maintaining production data pipelines (Airflow, Docker, S3, CI/CD) * Advanced Python for production analytics solutions * Experience with integrating LLMs or generative AI workflows (basic to intermediate) * Bachelor in Computer Science (or equivalent quantitative field) * Collaborative team player, fast learner, proactive, comfortable with ambiguity * Detail-oriented, quality-focused, pragmatic Key requirements * Hybrid working * Relocation support * 25 days annual leave + 5 days at Christmas * Private medical insurance for you and your family * Device on joining (iOS/Android) * Upskilling budget for growth opportunities

_ knowledge by educating analysts on coding and software engineering best practices Tasks * Advanced SQL skills (CTEs, optimization, large-scale data warehouses) * Experience building/maintaining production data pipelines (Airflow, Docker, S3, CI/CD) * Advanced Python for production analytics solutions * Experience with integrating LLMs or generative AI workflows (basic to intermediate) * Bachelor in Computer Science (or equivalent quantitative field) * Collaborative team player, fast learner, proactive, comfortable with ambiguity * Detail-oriented, quality-focused, pragmatic Key requirements * Hybrid working * Relocation support * 25 days annual leave + 5 days at Christmas * Private medical insurance for you and your family * Device on joining (iOS/Android) * Upskilling budget for growth opportunities