Join a

leading international retail group

transforming the way it manages

data and cybersecurity . With

500,000+ employees across 30+ countries , the Barcelona hub plays a key role in

developing core platforms, cloud infrastructure, and integral initiatives in data, AI, and cybersecurity .

You will help build a

platform that centralizes and processes vulnerability data at scale , making a real impact on

security and operations worldwide .

As part of the

Cybersecurity – Vulnerability , you will:

Design and develop systems processing

millions of events daily

Build

batch and real-time data pipelines

Write

production-grade Python

and backend logic

Integrate data from multiple sources:

Splunk, ServiceNow, Salesforce

Model and structure data for

efficient consumption

Ensure

data quality, integrity, and availability

Develop

monitoring and alerting solutions

for reliability

Collaborate closely with

backend, frontend, and product teams

Participate in

architecture discussions





and propose improvements

Contribute to the

future evolution of AI-driven analytics

Python & PySpark

Kafka, Airflow, DBT

Microservices &

event-driven architectures

Cloud: GCP

You will work on

high-scale distributed systems; h elped structure CI/CD pipelines and automation workflows across multiple repositories.

What we’re looking for

Experience with

PySpark and large-scale data processing

Background in

data pipelines (ELT)

Knowledge of

distributed and event-driven systems

Engineering mindset

– able to build scalable, maintainable systems

Comfortable in

international environments (English required)

Nice to have:

Cybersecurity experience

Home office support

If you want a role where you can

influence architecture, build systems at scale, and make a real impact on cybersecurity , this is your chance.

📌 Data Engineer (Madrid)
🏢 Q-Tech
📍 Madrid