Big data engineer in cybersecurity and anti-fraud

GMV; Barcelona; Hybrid; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Relocation package

Health, dental and accident insurance

Wellbeing program

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL & Databases

GCP

Batch Processing

Streaming Processing

Airflow

TWS

ODI

XSOAR

XSIAM

Cybersecurity

Fraud Prevention

English B2

Tools

GCP

Jobbeschreibung

Описание:

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.

Задачи:

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. 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 contribute to the continuous improvement of analytics solutions

Требования:

a background and interest in data engineering, data analytics, cybersecurity and fraud prevention 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. Будет плюсом: 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

Условия:

• Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.
• Flexible start and finish times, and intensive working hours Fridays and in summer.
• Personalized career plan development, training and language learning support.
• National and international mobility.
• Do you come from another country? We can offer you a relocation package.
• Competitive compensation with ongoing reviews, flexible compensation and discount on brands.
• Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, and much more!