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.
Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto.
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. xqbhyrx
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.