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# Big Data engineer for Cibersecurity and Anti-fraud

- **Company:** GMV
- **Location:** L'Hospitalet de Llobregat, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Airflow, Business Analytics Applications, Big Data, Cloud Computing, CompTIA Security+, Cyber Security, Databases, Information Engineering, Data Governance, Fraud Prevention and Detection, Security Information and Event Management, SQL Databases, Data Streaming, Google Cloud, Data Analytics, Cortex XSOAR Platform
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=66bd588bceb3535b

## About the Role

* We are looking for Data Engineers with a background and interest in data engineering, data analytics, cybersecurity and fraud prevention. We will also value previous experience and knowledge in:

 * 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.

Experience or knowledge in the following areas will be considered a plus:

 * Financial services sector.
 * Data governance and data quality practices.
 * Data Science and Machine Learning.
 * Cloud certifications.
 * Cybersecurity certifications such as CISSP.
 * Fraud prevention certifications such as ACFE.
 * Agile methodologies.

## Description

If you are passionate about transforming data into actionable insights and helping organizations prevent fraud, this is the place for you! We are expanding our Data & Analytics teams to support strategic projects in the financial sector, developing innovative solutions that strengthen cybersecurity and fraud prevention capabilities., In our team, you will develop data engineering solutions focused on fraud prevention and risk detection within the financial sector, contributing to the evolution of a well-established Data & Analytics and Cybersecurity service. You will design, develop and maintain batch and real-time streaming data processes, integrate data from SIEM platforms, build data models, participate in migration and deployment activities, and contribute to the continuous improvement of analytics solutions.