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# Big Data Engineer

- **Company:** Gmv
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Big Data, Cyber Security, Computer Engineering, Data Architecture, Extract Transform Load (ETL), Apache Hadoop, Information Extraction, Data Storage Technologies, Apache Spark
- **Published:** August 12, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

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., Experience in advanced analytics, cybersecurity, or intelligence projects will be considered a plus.

## Description

Do you want to join an established team in the defence sector and take on new challenges?
At GMV, we are a technology group with extensive experience.
We are expanding our
Defence & Security
teams to
develop large-scale information exploitation platforms for the cyber defence domain.
We ?ll get to the point; we'll tell you what's not on the web.
If you want to know more about us go toGMV website
WHAT CHALLENGE WILL YOU BE TAKING ON?
You will join the team responsible for the design and
implementation of Big Data platforms
for storing, processing, and exploiting large volumes of information.
You will participate in the design of data architectures, the development of ETL processes, information extraction from documents, integration of multiple data sources, and the creation of scalable solutions that transform data into actionable intelligence for cyber defence operations and other business areas.
WHAT DO WE NEED IN OUR TEAM?
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 includes:
Designing and implementing Big Data architectures.
Developing
data storage
and data exploitation processes.


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