Hybrid Big Data Engineer — Cybersecurity & Fraud Prevention

GMV Spain; l'Hospitalet de Llobregat; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hybrid working model

Relocation package

Training & language support

Wellbeing program

Flexible hours

Job summary

GMV Spain is seeking a Big Data Engineer focused on cybersecurity and anti-fraud to join our Data & Analytics team in Spain. You will design, develop and maintain batch and real-time data pipelines, integrate data from SIEM platforms, build data models and contribute to ongoing analytics improvements in financial sector projects. The role combines data engineering with cybersecurity knowledge in a hybrid work environment.

Qualifications

• Data engineers with background in data engineering, analytics, cybersecurity and fraud prevention.
• Experience with SQL and database technologies.
• Experience in batch and streaming data processing.
• Familiarity with Airflow, TWS and ODI.
• Familiarity with XSOAR and XSIAM.
• Experience in cybersecurity and fraud prevention environments.

Responsibilities

• Develop data engineering solutions for fraud prevention and risk detection.
• Design, develop and maintain batch and real-time data pipelines.
• Integrate data from SIEM platforms.
• Build data models and support deployments and migrations.
• Contribute to continuous analytics improvements.

Skills

Data engineering

SQL

Batch & streaming data processing

Airflow

TWS

ODI

XSOAR

XSIAM

Cybersecurity

Fraud prevention

Job description

GMV Spain is seeking a Big Data Engineer focused on cybersecurity and anti-fraud to join our Data & Analytics team in Spain. You will design, develop and maintain batch and real-time data pipelines, integrate data from SIEM platforms, build data models and contribute to ongoing analytics improvements in financial sector projects. The role combines data engineering with cybersecurity knowledge in a hybrid work environment.