Senior Data Engineer

About the role

Who we are:

Let's have fun shaping your future!

We are Socialpoint, a world-renowned mobile game studio proudly part of the Zynga & Take-Two Interactive family. We’re the creators of hits like Dragon City, Two Dots, Top Troops, and Monster Legends, loved by hundreds of millions of players around the globe.We craft the best social games, bringing joy from Barcelona to the world. Now, we want to bring the world to Barcelona! At Socialpoint, work and play intertwine seamlessly, and we celebrate the diversity that makes us stronger. No matter who you are or where you’re from, you’re welcome here. Join us for a future where making games is as thrilling as playing them!

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.

Why should you join us?

- We are committed to continuous improvement, so you'll never stop learning.

- We are a collaborative team that learns from each other every day.

- We run large-scale production pipelines spanning ETLs, analytical tools, and AI/ML models.

- We focus on delivering innovative solutions to real-world problems.

Requirements

- A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, or Physics).

- Advanced SQL skills, including experience with CTEs, query optimization, and large-scale data warehouses.

- Advanced experience building and maintaining production data pipelines using tools such as Airflow, Docker, S3, and CI/CD workflows.

- Hands-on experience integrating LLMs or developing generative AI tools and workflows.

- Advanced Python skills for developing production-ready data and analytics solutions.