Senior Data Engineer
Zynga
- Barcelona, Spain
- Senior Level
- Bachelor's degree
- Posted
Skills
Required
- SQL
- Mobile
- query optimization
- data warehouses
- LLMs
- generative AI tools and workflows
- Airflow
- Docker
- S3
- Python
Preferred
- évolutifs
- creating and maintaining dashboards
- Tableau
- BI
Join Zynga, a leading mobile gaming company, as a Senior Data Engineer. In this role, you will write and optimize complex SQL queries, design and maintain cross-game data marts, develop scalable code and tools, and build end-to-end AI pipelines. You will also share your knowledge with game analysts and contribute to the success of the team. Enjoy a range of benefits including wellness programs, flexible time-off policies, and opportunities for equity participation.
Responsibilities
- Écrire et optimiser des requêtes SQL complexes pour soutenir l'expérimentation et l'ingénierie des fonctionnalités des modèles.
- Concevoir, construire et maintenir des data marts inter-jeux, fournissant des données propres et transformées prêtes à être utilisées par les analystes.
- Développer un code, des outils et des frameworks évolutifs, réutilisables et maintenables qui peuvent être adoptés par différentes équipes de jeux.
- Experience creating and maintaining dashboards in Tableau or a similar BI tool
Requirements
- Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses
- A fast learner who is proactive and comfortable working with ambiguity
- Basic to intermediate experience integrating LLMs or working with generative AI tools and workflows
- A collaborative team player who builds trust, communicates openly, and contributes to shared success
- Advanced experience building and maintaining data pipelines in production environments, using tools such as Airflow, Docker, S3, and CI/CD workflows
- Detail-oriented, with a strong commitment to accuracy and high-quality outcomes
- Pragmatic, with the ability to balance short-term delivery needs with long-term technical quality
- A bachelor degree in a quantitative field (e.g Engineering, Computer Science, Maths, Statistics or Physics)
- Advanced experience in Python for developing production-level data analytics solutions
- Background in the Mobile Gaming industry
- Background in Marketing Analytics
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