Expert Data Engineer

• Design, implement, and optimize data pipelines supporting end-to-end Capital Markets AML detection scenarios
• Implement detection logic, rule frameworks, and scoring components for financial crime use cases
• Ensure high-quality engineering across code, data pipelines, and operational processes
• Contribute to greenfield architecture with ownership, innovation, and focus on delivery excellence

• Strong programming skills in Python, Java, and Scala
• Advanced experience with Apache Spark (PySpark) and SQL for large-scale distributed data processing
• Hands-on experience with Quantexa
• Proven experience with distributed compute platforms and on-premise cluster environments
• Proficiency with CI/CD tools such as Bamboo/Jenkins and Bitbucket
• Experience working in Agile teams and independently in fast-paced, evolving environments
• Strong analytical and problem-solving skills with the ability to adapt quickly
• Very good command of English, both spoken and written

Nice to have:

• Understanding of Capital Markets products, including FX, Equities, Derivatives, and Bonds
• Previous experience in Financial Crime, AML, or surveillance use cases
• Experience implementing rule-based detection systems, scorecards, or alerting frameworks
• Experience delivering against NFRs, including performance, scalability, observability, data quality, resiliency, and security
• Experience with automation, including automated pipeline deployment, data validation, testing frameworks, and workflow orchestration
• Experience integrating solutions with third-party systems, including case management systems
• Strong can-do attitude and ability to collaborate effectively in a cross-functional team