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 general 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; helped 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 (Barcelona)
🏢 Q-Tech
📍 Barcelona