(Senior) Data Platform Engineer | Fraud & Integration (m/w/d)
Core
Develop and operate central integration solutions for data flows in the banking environment, specifically for fraud detection, prevention, and analysis.
Role type
Senior Data Platform Engineer (Fraud & Integration)
Builds
Scalable, reliable integration solutions and event-driven architectures for fraud detection use cases.
Domain
Banking / Financial Services / Data Engineering
Deliverable
production ML models
Required skills
Apache Camel, Groovy, Java, Kafka, AWS, Kubernetes, REST/SOAP APIs, Git/GitLab, Event-driven architecture design, Data orchestration and transformation, Regulatory compliance implementation, Code quality assurance (reviews, Clean Code), Technical architecture design, Business requirement analysis.
Preferred skills
SAS platforms (SAS Fraud Management, SAS Viya), Distributed systems experience.
Responsibilities
Develop and maintain integration solutions for data orchestration and enrichment; Design and evolve integration architecture for fraud detection; Implement complex data flows and interfaces in banking environments; Conduct developer and integration testing; Monitor and optimize existing data processes.
Seniority
Senior, hands-on IC
