Big data engineer in cybersecurity

GMV; Barcelona; Hybrid; EUR 42,000 - 65,000; Full time

Benefits offered by this job

Гибридная работа

Возможна релокация

Программа благосостояния

Job summary

GMV ищет аналитика данных для усиления возможностей кибербезопасности финансового сектора через продвинутый анализ и мониторинг. Вы будете работать над проектами по обнаружению угроз и предотвращению мошенничества, исследовать сигналы и события, настраивать пороги и данные модели.

Гибридная работа в Барселоне с возможной релокацией. Предлагаются конкурентное вознаграждение, поддержка в обучении и благосостоянии, а также международная мобильность.

Qualifications

• Опыт в анализе данных и кибербезопасности, работа в области обнаружения угроз и профилактики мошенничества.
• Знания SQL, баз данных; опыт работы с инструментами визуализации и отчетности (Qlik Sense).
• Опыт работы в среде облачных технологий (Google Cloud Platform) приветствуется.

Responsibilities

• Разрабатывать проект анализа данных в области обнаружения угроз и предотвращения мошенничества.
• Анализировать данные из SIEM, выявлять паттерны и аномалии.
• Определять мониторинговые пороги и контролируемые параметры, проектировать модели данных.

Skills

Data analytics

Threat detection

Cybersecurity

Fraud prevention

Analytical mindset

Tools

SQL

Qlik Sense

Google Cloud Platform

Job 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!