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# Senior Analytics Engineer - Social Point

- **Company:** Jobrapido
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon S3, Data Analysis, Big Data, Code Reuse, Continuous Integration, Data Mart, Data Systems, Python (Programming Language), Operational Databases, Standard Sql, Software Engineering, SQL Databases, Systems Integration, Freeform SQL, Feature Engineering, Large Language Models, Information Technology, Machine Learning Operations, Docker
- **Published:** September 26, 2026
- **Apply:** https://www.buscojobs.com.es/senior-analytics-engineer-social-point-en-barcelona-ID-372879811

## About the Role

Experience with integrating LLMs or generative AI workflows (basic to intermediate)
Bachelor in Computer Science (or equivalent quantitative field)
Collaborative team player, fast learner, proactive, comfortable with ambiguity
Detail-oriented, quality-focused, pragmatic
Collaborative
Proactive communication
Adaptability to ambiguity
SQL
Python
Airflow

## Description

OverviewHaga clic en "Solicitar" a continuación para enviar su candidatura.Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.As Analytics Engineer in Socialpoint's Central Analytics, you will design and optimize data systems to support experimentation and feature engineering across our games.You'll build cross-game data marts and scalable data tooling, collaborating with game analytics to deliver solutions that drive growth.You'll also create AI-powered workflows and share best practices to uplift the analytics discipline.This role offers hands-on impact in a fast-paced, learning-focused environment.Compensaciones / BeneficiosHybrid workingRelocation support25 days annual leave + 5 days at ChristmasPrivate medical insurance for you and your familyDevice on joining (iOS/Android)Upskilling budget for growth opportunitiesResponsabilidadesWrite and optimize complex SQL queries to support experimentation and feature engineering on large player datasetsDesign, build, and maintain cross-game data marts with clean, transformed data for AnalystsDevelop scalable, reusable code, tools, and frameworks adopted across game teamsPartner with game analytics teams to design and maintain data tools used across applicationsBuild and maintain end-to-end AI pipelines to support Analysts' day-to-day tasksShare knowledge by educating analysts on coding and software engineering best practicesRequisitos principalesAdvanced SQL skills (CTEs, optimization, large-scale data warehouses)Experience building/maintaining production data pipelines xqziphu (Airflow, Docker, S3, CI/CD)Advanced Python for production analytics solutionsExperience with integrating LLMs or generative AI workflows (basic to intermediate)Bachelor in Computer Science (or equivalent quantitative field)Collaborative team player, fast learner, proactive, comfortable with ambiguityDetail-oriented, quality-focused, pragmaticCollaborativeProactive communicationAdaptability to ambiguitySQLPythonAirflow