Overview

As a Big Data Engineer in GMV’s Data & Analytics team, you will build data pipelines and models to prevent fraud and detect risk in financial services. You’ll design batch and real-time data processes, integrate SIEM data, and support migration and deployment while improving analytics solutions. You’ll work within cybersecurity and fraud prevention domains to scale and enhance our analytics capabilities. This role offers hybrid work, international mobility, and a clear path for technical and career growth.

Compensaciones / Beneficios

- hybrid work model
- 8 weeks teleworking annually
- adaptable start and finish times
- career plan development and training
- national and international mobility with relocation package
- wellbeing program (health, dental, insurance)

Responsabilidades

- Design, develop and maintain batch and real-time data processing pipelines
- Integrate data from SIEM platforms to enrich analytics and risk detection




- Build data models and support analytics solution improvements
- Participate in migration and deployment activities
- Contribute to continuous improvement of analytics solutions
- Collaborate with cross-functional teams in cybersecurity and fraud prevention initiatives

Requisitos principales

- SQL and database technologies
- Google Cloud Platform (GCP)
- Batch and streaming data processing
- Airflow, TWS and ODI
- XSOAR and XSIAM
- Cybersecurity and fraud prevention environments
- English level B2
- Financial services sector (preferred)
- Data governance and data quality practices (preferred)
- Data Science and Machine Learning (preferred)
- Cloud certifications (preferred)
- CISSP (preferred)
- ACFE (preferred)
- Agile methodologies (preferred)

- communication
- team collaboration
- problem solving
- SQL
- database technologies
- GCP

📌 Big Data engineer for Cibersecurity and Anti-fraud - tres cantos
🏢 GMV
📍 Tres Cantos