Data Engineer (Cybersecurity)

TL;DR

Data Engineer (Cybersecurity): Build and maintain data pipelines and platform components that support products, analytics, and AI initiatives with an accent on AWS, Airflow, and event-driven patterns. Focus on ensuring platform reliability, improving data quality, and collaborating with Analytics, Product Engineering, and ML teams to deliver reliable datasets and resolve issues.

Location: Remote from Portugal, Ireland, or United Kingdom

Company

Europe’s fastest-growing cybersecurity scale-up leveraging behavioral science and data-driven learning for human risk management.

What you will do

• Build and maintain data pipelines and platform components for products, analytics, and AI.
• Implement ingestion and serving workflows using AWS, Airflow, and event-driven patterns.
• Improve platform reliability through monitoring, alerting, CI/CD, access management, and Terraform-based infrastructure changes.
• Collaborate with Analytics, Product Engineering, and ML teams on datasets, event schemas, and data contracts.
• Troubleshoot pipelines, resolve data issues, and operationalize new use cases for internal teams.
• Participate in code reviews, technical discussions, and documentation for maintainability.

Requirements

• 4+ years building and operating production data pipelines (AWS preferred)
• Strong Python and SQL skills, experience with Airflow, dbt, Kafka
• Practical knowledge of Terraform, CI/CD, and production data systems
• Experience with data quality and observability practices
• Ability to own tasks end-to-end with clear communication
• Fluent in English

Culture & Benefits

• Flexible hours and 33 vacation days for work/life balance
• Wellbeing support via Open Up and corporate discounts
• Virtual events, team activities, and local meet-ups for connection
• Tech equipment, referral bonuses, dog-friendly HQ