Senior Analytics Engineer

zyngacareers; Deutschland; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid work arrangement

Relocation support to Barcelona

Meal benefits

Private medical insurance for employee

Device of choice on joining (iOS/安卓)

English & Spanish language lessons

Spotify Premium

Onsite gym and social events

Zusammenfassung

Zynga seeks a senior data engineer to join a central analytics team to build data marts, tooling, and AI-powered workflows that shape player experience across titles. The role focuses on scalable engineering, at the intersection of data engineering, analytics, and applied AI.

You will collaborate with analysts and game teams to design data tools, optimize SQL, build AI pipelines, and share best practices. This role offers a hybrid setup with relocation support to Barcelona.

Qualifikationen

• Bachelor's degree in a quantitative field (engineering, CS, math, stats or physics).
• Advanced SQL skills with CTEs and large-scale data warehouse experience.
• Production data pipelines using Airflow, Docker, S3 and CI/CD workflows.
• Advanced Python skills for production analytics solutions.
• Experience integrating LLMs or generative AI tools.
• Collaborative, fast-learning mindset with strong written and verbal communication.

Aufgaben

• Write and optimize SQL queries powering experimentation and analytics.
• Design, build, and maintain cross-game data marts with ready-to-use datasets.
• Develop scalable, reusable code, tools and frameworks for multiple game teams.
• Partner with game analytics to co-design data tools and products.
• Build and maintain end-to-end AI pipelines to support analyst tasks.
• Share knowledge by teaching coding and software engineering best practices.

Kenntnisse

SQL

Python

Data pipelines

Data warehousing

LLMs / generative AI

Collaboration

Ausbildung

Bachelor's degree in a quantitative field

Tools

Airflow

Docker

S3

CI/CD

Jobbeschreibung

Role overview

Join a central analytics team at a major mobile games publisher to build the data marts, tooling, and AI-powered workflows that shape player experience across a portfolio of titles. The role focuses on enabling analysts and game teams through scalable engineering rather than answering one-off questions, sitting at the intersection of data engineering, analytics, and applied AI. It is well suited to a senior engineer who thrives in a fast-moving, collaborative environment.

Responsibilities

• Write and optimize complex SQL queries that power experimentation, feature engineering, and large-scale analytics across player datasets
• Design, build, and maintain cross-game data marts that give analysts clean, trustworthy, ready-to-use datasets
• Develop scalable, reusable code, tools, and frameworks that can be adopted across multiple game teams
• Partner with game analytics teams to co-design and maintain data tools and products used in many applications
• Build and maintain end-to-end AI pipelines that support everyday analyst tasks and boost team productivity
• Share knowledge across the team by teaching analysts coding and software engineering best practices

Requirements

• Bachelor's degree in a quantitative field such as engineering, computer science, mathematics, statistics, or physics
• Advanced SQL skills, including CTEs, query optimization, and large-scale data warehouse experience
• Advanced experience building and maintaining production data pipelines with tools such as Airflow, Docker, S3, and CI/CD workflows
• Advanced Python skills for production-level data analytics solutions
• Basic to intermediate experience integrating LLMs or working with generative AI tools and workflows
• Collaborative, fast-learning, detail-oriented mindset with strong written and verbal communication

Nice to have

• Experience creating and maintaining dashboards in Tableau or a similar BI tool
• Background in mobile gaming or marketing analytics

Benefits and work setup

• Hybrid working from home and office, based in Barcelona, with relocation support available
• Annual leave plus five additional days off over Christmas, generous meal benefits, and private medical insurance for employees and their families
• Choice of a new iOS or Android device on joining, free English and Spanish language lessons, and Spotify Premium
• Onsite gym, gaming room, physiotherapist, and hairdresser; dedicated learning budget and regular social events