Big Data engineer

You will join the team responsible for the design and implementation of Big Data platforms for storing, processing, and exploiting large volumes of information.

For this position, we are looking for candidates with a degree in Computer Engineering or a related technical field, together with a Master’s degree in Big Data or an equivalent qualification, and at least 3 years of experience working with Big Data platforms and large-scale data processing.

The required skills for the role include:

• Designing and implementing Big Data architectures.
• Developing data storage and data exploitation processes.
• Experience with Apache Spark and Hadoop.
• Automated document processing and information extraction.
• Experience using document processing libraries such as PyMuPDF.
• Designing data models and integrating multiple data sources.
• Developing scalable solutions for analysing large volumes of information.
• Experience in advanced analytics, cybersecurity, or intelligence projects will be considered a plus.

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.