Big Data engineer
Data Analyst (Big Data engineer) at GMV building a data analytics project for threat detection and fraud prevention for a leading financial institution. Day to day: investigating security alerts, analyzing SIEM data, defining monitoring controls, and designing data models using SQL, GCP, and dashboarding tools.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Background and interest in data analytics, 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
Big Data engineer | Job DetailsDo 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. Well get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV websiteWHAT CHALLENGE WILL YOU BE TAKING ON?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, and contribute to the continuous improvement of analytical solutions. WHAT DO WE NEED IN OUR TEAM?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. 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. WHAT DO WE OFFER?Hybridworking model and 8 weeks per year of teleworking outside your usual geographical area.
Flexible start and finish times, and intensive working hours Fridays and insummer. Personalizedcareer plan development, training and language learning support. National and international mobility. Do you come from another country?
We can offer you a relocation package.
Competitivecompensation with ongoing reviews, flexible 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. If you are contactedthrough any other process, please write to our team at privacy@gmv.comWe promoteequal opportunities in recruitment, and we are committed to inclusion anddiversity. WHAT ARE YOU WAITING FOR? JOIN US#LI-HybridIf you have any questions please do not hesitate to contact Carolina de Lucas, in charge of this vacancy.
Carolina de Lucas