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; 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. #J-18808-Ljbffr

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