Big Data engineer
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Role details
Tech stack
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Requirements
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.
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!
- ️ In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at privacy@gmv.com
️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.
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Prepare application
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