Data engineer for AML detection

Sneior 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.

• 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.

• 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

• 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