Ework Group

Python/Java Developer for Transaction Monitoring

180 - 210 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·WarszawaFull-time·B2B

#457878·Dodano 21 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Python Java PySpark SQL CI/CD

Podsumowanie oferty

You will work on designing, implementing, and optimizing data pipelines to support end-to-end capital-markets AML detection scenarios. The role involves implementing detection logic, rule frameworks, and scoring components to support financial-crime use cases. You will contribute to a greenfield architecture with a focus on engineering quality and innovation. The position requires working in Agile teams and handling operational processes related to transaction monitoring.

Wymagania

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

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 such as performance, scalability, observability, data quality, resiliency, and security.
Experience with automation, including automated pipeline deployment, data validation, testing frameworks, and workflow orchestration.
Experience in integrating the solutions with third party systems (like case management systems).
A strong “can-do” attitude and the ability to collaborate effectively in a cross-functional team.

Obowiązki

Design, implement, and optimise data pipelines to support end-to-end capital-markets AML detection scenarios.
Implement detection logic, rule frameworks, and scoring components to support financial-crime use cases.
Ensure high-quality engineering across code, data pipelines, and operational processes.
Contribute to a greenfield architecture with a strong sense of ownership, innovation, and delivery excellence.

Ework Group

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