Big Data engineer for Cibersecurity and Anti-fraud | Job DetailsIf 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.we'll tell you what's not on the web. 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. 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.
Cybersecurity and fraud prevention environments. English level B2.
Data governance and data quality practices. Data Science and Machine Learning. Cloud certifications. Cybersecurity certifications such as CISSP. Agile methodologies. Personalizedcareer plan development, training and language learning support. We can offer you a relocation package. Competitivecompensation with ongoing reviews, versátil compensation anddiscount on brands. Wellbeingprogram: Health, dental and accident insurance; free fruit and coffee,physical, mental and financialhealth training, and much more In our recruitment processes youwill always have telephone and personal contact, face-to-face or online, withour talent acquisition team. In addition, bank transfers and bank cards willnever be requested. JOIN US#LI-Hybrid

📌 Ingeniero de Big Data (España)
🏢 GMV
📍 España