Senior Analytics Engineer: AI-Powered Data Pipelines Growth

Zynga; Bellprat; Híbrido; EUR 60.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation support

25 days annual leave

Medical insurance for you and family

Device choice (iOS or Android)

Spotify Premium

Gym facilities on site

Gaming room on site

Onsite physiotherapist

Descripción de la vacante

Zynga is seeking a data analytics engineer to join our Central Analytics team in Barcelona. You will write complex SQL, build data marts, and develop scalable data tools to support game growth. You will collaborate with game analysts and other engineers to deliver AI-powered workflows across multiple titles.

Candidates should have advanced SQL and Python skills, plus experience with Airflow, Docker, S3, and CI/CD. A background in or willingness to work with LLMs and AI tools is a plus.

Formación

• Bachelor's degree in a quantitative field (e.g., Engineering, CS, Maths, Statistics or Physics).
• Advanced SQL skills with CTEs, optimization, and large-scale warehouses.
• Production-grade data pipelines using Airflow, Docker, S3 and CI/CD workflows.
• Python for building production analytics solutions.
• Experience with LLMs or generative AI workflows is a plus.

Responsabilidades

• Write and optimize complex SQL queries for experiments, models, and large datasets.
• Design, build, and maintain cross-game data marts for analysts.
• Develop scalable, reusable data tools and frameworks used by multiple games.
• Partner with game analytics teams to co-design data tools and products.
• Build and maintain end-to-end AI pipelines supporting analysts.

Conocimientos

Advanced SQL

Python

AI/ML workflows

Data modeling

Collaborative teamwork

Fast learner

Attention to detail

Educación

Bachelor's degree in a quantitative field

Herramientas

Airflow

Docker

S3

CI/CD

Tableau

Descripción del empleo

Zynga is seeking a data analytics engineer to join our Central Analytics team in Barcelona. You will write complex SQL, build data marts, and develop scalable data tools to support game growth. You will collaborate with game analysts and other engineers to deliver AI-powered workflows across multiple titles.

Candidates should have advanced SQL and Python skills, plus experience with Airflow, Docker, S3, and CI/CD. A background in or willingness to work with LLMs and AI tools is a plus.