Senior Data Scientist — AI Pipelines for Gaming Growth

Socialpoint; Barcelona; Hybrid; EUR 60,000 - 95,000; Full time

Benefits offered by this job

Hybrid working from office inBarcelona

Relocation support

25 days annual leave

5 extra days at Christmas

Ticket-restaurant

Private medical insurance

IOS/Android device selection

Spotify Premium

Social events

Budget for learning

Gym facilities

Gaming room

Onsite physiotherapist

Onsite hairdressers

Job summary

Socialpoint, a world-renowned mobile game studio, is seeking a Central Analytics engineer to design data marts, build AI-powered workflows, and optimize data pipelines. You will collaborate with game and marketing analysts, improving player experience and driving growth using a modern tech stack.

Key responsibilities include writing complex SQL, maintaining data warehouses, and delivering scalable data tools.

Qualifications

• Degree in Engineering, Computer Science, Maths, Statistics or Physics.
• Strong SQL skills with CTEs and data warehouse concepts.
• Experience building data pipelines in production environments (Airflow, Python).
• Proficiency in Python for analytics solutions.

Responsibilities

• Write and optimize complex SQL queries for large-scale datasets.
• Build and maintain cross-game data marts and transformed data.
• Develop scalable code, tools, and frameworks across game teams.
• Collaborate with game analytics teams to design data tools and products.
• Build end-to-end AI pipelines to support analysts.
• Educate analysts on coding and best practices.

Skills

Advanced SQL

Python

Airflow

Docker

S3

CI/CD

LLMs / Generative AI

Data modeling

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Airflow

Docker

S3

CI/CD

Job description

Socialpoint, a world-renowned mobile game studio, is seeking a Central Analytics engineer to design data marts, build AI-powered workflows, and optimize data pipelines. You will collaborate with game and marketing analysts, improving player experience and driving growth using a modern tech stack.

Key responsibilities include writing complex SQL, maintaining data warehouses, and delivering scalable data tools.