Data engineer in cybersecurity

Hace 3 días

Barcelona, Cataluña, España Q-Tech Jornada completa 40.000 € - 55.000 € Por obra

Описание:

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.

Задачи:

  • 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
  • You will work on high-scale distributed systems; helped structure CI/CD pipelines and automation workflows across multiple repositories.

Требования:

  • Strong Python skills (production level)
  • 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)
  • Будет плюсом: Cybersecurity experience; Kafka, Airflow, DBT, Kubernetes, cloud experience

Условия:

  • Hybrid model: 8 days/month onsite (flexible)
  • Central office: Plaça Catalunya, Barcelona
  • Salary: €40K – €55K
  • Flexible benefits (~€3,500/year): meal vouchers, transport
  • Private health insurance
  • Home office support
  • Wellbeing budget (€300/year)
  • Language classes (2h/week)
  • Training & education (courses, master’s programs)