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 principales

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

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 Architect, hibrido (Madrid)
🏢 GMV
📍 Madrid