Fraudio builds real-time fraud detection systems for the payments industry. We’re looking for a Data Engineer, based in Portugal, who is comfortable with hands-on operational work, including investigating fraud cases and data issues, and who has the mindset to turn that operational work into automated, scalable product improvements.

This is a role where you actively operate the system, dig into real fraud scenarios, and then improve the underlying pipelines, data models, and logic so the same work does not need to be repeated.

Important: Although this is a remote role, you must have the legal right to work in Portugal (e.g., Portuguese citizenship or valid Portuguese work authorization / social security registration).

What you’ll do

• Build, maintain, and monitor real-time data pipelines processing payment transactions (Kafka-based)
• Investigate fraud cases and alerts to understand how detection was bypassed
• Analyze transaction data using SQL and Python to identify logic gaps, edge cases, or data issues
• Translate observed fraud patterns into improved rules, features, or data logic
• Proactively find and fix data quality issues (missing, inconsistent, or incorrect data)
• Maintain and optimize PostgreSQL databases used for detection and reporting
• Work with Product and Engineering to turn operational findings into product and system improvements
• Identify repetitive operational work and automate it away

What we’re looking for

• 1–3 years of experience in data engineering or backend roles with a strong data focus

Why this role

• Direct impact on preventing financial crime
• Real ownership over production systems and detection logic
• Combination of operational responsibility and product development
• Close collaboration with fraud, product, and engineering teams
• Practical engineering culture focused on stability and correctness