EU remote
Senior Data Engineer
About this role
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone.
Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences.
Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Join our Central Analytics team to build AI-powered tools and scalable data solutions that simplify analysts' daily work and drive game growth. Work alongside experienced Analytics Engineers, partnering closely with game and marketing analysts to turn automation opportunities into impactful solutions.
We're looking for someone who learns quickly, embraces new technologies, and thrives in a collaborative, fast-paced environment. What will be your main tasks working with us? Design, build, and maintain end-to-end AI pipelines and agentic workflows that automate analytical tasks and streamline analysts' daily work. Develop scalable AI-powered tools and applications , integrating LLMs with internal data sources, APIs, and analytics platforms.
Build reusable Python frameworks and services , ensuring AI solutions are reliable, maintainable, and scalable across game and marketing analytics teams. Design and maintain data pipelines and cross-game data marts , using Python and SQL to deliver clean, reliable, and accessible data. Partner closely with analysts to identify automation opportunities, develop practical solutions, and drive the adoption of AI tools and engineering best practices.