Expert Data Engineer
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Summary
Expert Data Engineer designing and optimising data pipelines and detection logic for capital-markets AML (financial-crime) scenarios. Core stack is Python, Java, Apache Spark/PySpark and Spark SQL on large-scale on-premise clusters, with CI/CD via Bamboo/Jenkins and Bitbucket.
- 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
Kogo poszukujemy?
- 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
