Expert Data Engineer

• Design, implement and optimise 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 solutions

• Strong programming skills in Python and Java
• Advanced experience with Apache Spark, PySpark, Spark SQL and SQL for large-scale distributed data processing
• 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 NFRs covering 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
• Ability to collaborate effectively within cross-functional teams with a strong can-do attitude