Big data engineer in cybersecurity
Data analyst/engineer at GMV (Barcelona, hybrid) building a threat-detection and fraud-prevention analytics project for a leading financial-sector client. Day to day: investigating security alerts, analyzing SIEM data, finding patterns/anomalies, defining monitoring controls, and designing data models using SQL, Google Cloud Platform and Qlik Sense.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Background/interest in data analytics
- Background/interest in cybersecurity, threat detection and fraud prevention
Nice to have
- SQL and databases
- Google Cloud Platform
- Reporting and dashboarding tools such as Qlik Sense
- Experience in cybersecurity and fraud prevention environments
- Knowledge of the financial sector
- Data governance and data quality
- Data Science
- Machine Learning
- Threat classification frameworks such as MITRE ATT&CK
- Cloud certifications
- Cybersecurity certifications (e.g. CISSP)
- Fraud prevention certifications (e.g. ACFE)
- Agile methodologies
- Catalan (B2 level)
Full description
Описание
Do you enjoy identifying patterns in data and applying them to threat detection and fraud prevention? Join GMV as a Data Analyst and help strengthen cybersecurity capabilities in the financial sector through advanced analytics and data-driven insights.
Задачи
In our team, you will develop a data analytics project focused on threat detection and fraud prevention, helping a leading financial institution strengthen its cybersecurity capabilities through advanced data analysis and monitoring. You will investigate security alerts and events analyse data from SIEM platforms identify patterns and anomalies define monitoring controls and thresholds design data models contribute to the continuous improvement of analytical solutions.
Требования
We are looking for Data Analysts with a background and interest in data analytics, cybersecurity, threat detection and fraud prevention. We will also value previous experience and knowledge in SQL, databases, Google Cloud Platform, reporting and dashboarding tools such as Qlik Sense, as well as cybersecurity and fraud prevention environments.
Будет плюсом: Knowledge of the financial sector, data governance and data quality, Data Science, Machine Learning, threat classification frameworks such as MITRE ATT&CK, cloud certifications, cybersecurity certifications (e.g. CISSP), fraud prevention certifications (e.g. ACFE), Agile methodologies and Catalan (B2 level) will be considered a plus.
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 financial health training, and much more!