
Fraudio’s mission is to connect merchants, payment service providers, merchant acquirers, card issuers and other players in the payments chain to a powerful centralized AI / smart brain that…

Fraudio’s mission is to connect merchants, payment service providers, merchant acquirers, card issuers and other players in the payments chain to a powerful centralized AI / smart brain that…
What they do: AI-driven SaaS for payment fraud detection and AML, real-time API with sub-100ms responses
Business model: 100% SaaS, pay-per-use pricing
Founded / HQ: Founded 2019, headquartered in Amsterdam with R&D in Lisbon
Team size (approx.): ~30 employees
Funding (reported): $3.3M total (across multiple early rounds, latest seed Mar 2, 2023)
Payment fraud detection and anti-money laundering for payment ecosystem participants
2019
Financial Services
Most recent reported round; investors include Start Ventures and Iberis Capital
$3300000
Reported prior seed (~$3.3M) per Dealroom/third-party profiles
$450000
Noted prior round (~$450k) per third-party profiles
“Backed by Start Ventures and Iberis Capital; public materials also mention support from ING and Viva Wallet”
| Company |
|---|
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
What we’re looking for
1–3 years of experience in data engineering or backend roles with a strong data focus
Why this role
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
80,000+
Open Roles
3,900+
New This Week
Hands-on experience with Kafka or similar streaming systems
Strong SQL and Python
skills
Experience with PostgreSQL or relational databases
Comfortable with operational work and investigating real fraud cases
Product-oriented and automation-minded: you aim to reduce manual work over time
Analytical and curious: you want to understand how fraud happens and why systems fail
Experience with payments or APIs is a plus, but not required