Описание
Senior Data Engineer role focuses on delivering consultancy services aimed at enhancing anti-money laundering detection systems within capital markets, ensuring high-quality engineering and innovation.
Задачи
•Design, implement, and optimise data pipelines for 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 a greenfield architecture with ownership and delivery excellence.
Требования
•Strong programming skills in Python and Java.
•Advanced experience with Apache Spark (PySpark) and SQL for large-scale data processing.
•Hands-on experience in distributed compute platforms and on-premise clusters.
•Proficiency in CI/CD tools such as Bamboo/Jenkins and Bitbucket.
•Quantexa Scala experienced.
•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.
Будет плюсом
•Understanding of Capital Markets products including FX, Equities, Derivatives, and Bonds.
•Experience in Financial Crime, AML, or surveillance use cases.
•Experience with rule-based detection systems, scorecards, or alerting frameworks.
•Experience with automation in pipeline deployment, data validation, and workflow orchestration.
•Experience integrating solutions with third-party systems.
•A strong "can-do" attitude and ability to collaborate in cross-functional teams.
Условия
•Industry: banking
•Work model: hybrid in Gdańsk/Gdynia/Łodz/Warsaw (3 days x week from the office)
•Project length: 12 months + possible extensions
•Project language: English / Polish
•Assignment type: B2B
•Rate: up to 155 PLN/h + VAT
•Start: ASAP
