Data Engineer

Q-tech; Barcelona; On-site; EUR 80,000 - 120,000; Full time

Job summary

Q-tech’s Barcelona hub is building a platform to centralize vulnerability data, processing millions of events daily in a high-scale data and cybersecurity context.

You will collaborate across backend, frontend, and product teams to implement Python, PySpark, and cloud-based pipelines that shape AI-driven analytics for global security operations.

Qualifications

• 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).

Responsibilities

• 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.

Skills

PySpark

Large-scale data processing

Distributed systems

Engineering mindset

English (communication)

Tools

Kafka

Airflow

DBT

Job description

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; h 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.