OverviewAs 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 / Beneficioshybrid work model
8 weeks teleworking annually
versátil start and finish times
career plan development and training
national and international mobility with relocation package
wellbeing program (health, dental, insurance)
ResponsabilidadesDesign, 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 principalesSQL 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 (España)
🏢 GMV
📍 España