Expert Data Engineer
Posted
Summary
Data engineer designing and optimizing large-scale data pipelines and detection/scoring logic for Capital Markets AML (financial crime) scenarios. Core stack: Python, Java, Scala, Apache Spark/PySpark, SQL, and Quantexa on distributed on-premise clusters with Bamboo/Jenkins CI/CD.
- 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
Kogo poszukujemy?
- 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
