Fraud Prevention Data Engineer - Hybrid, Global Mobility

GMV; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Relocation package

Health, dental and accident insurance

Wellbeing program

Job summary

GMV is expanding its Data & Analytics teams in Barcelona to strengthen cybersecurity and fraud prevention for financial sector projects. You will design and implement data pipelines, integrate SIEM data, and build scalable models to detect fraud in real-time.

Join a dynamic team with a hybrid work model, international mobility, and ongoing training to advance your skills in data governance, ML, and cloud-native solutions.

Qualifications

• Background in data engineering, data analytics, cybersecurity and fraud prevention.
• Strong SQL and database technology skills required.
• Experience with cloud platforms (GCP) and data processing architectures.

Responsibilities

• Develop data engineering solutions for fraud prevention and risk detection in financial services.
• Design, build and maintain batch and real-time data pipelines.
• Integrate data from SIEM platforms and build data models.

Skills

SQL & Databases

GCP

Batch Processing

Streaming Processing

Airflow

TWS

ODI

XSOAR

XSIAM

Cybersecurity

Fraud Prevention

English B2

Tools

GCP

Job description

GMV is expanding its Data & Analytics teams in Barcelona to strengthen cybersecurity and fraud prevention for financial sector projects. You will design and implement data pipelines, integrate SIEM data, and build scalable models to detect fraud in real-time.

Join a dynamic team with a hybrid work model, international mobility, and ongoing training to advance your skills in data governance, ML, and cloud-native solutions.