Data Engineer

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 global 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.

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