Big data engineer in cybersecurity and anti-fraud
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Role details
Tech stack
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Job description
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!
Requirements
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
Benefits & conditions
- 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!
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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