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Senior Data Engineer

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Summary

Senior Data Engineer on a 12-month B2B consultancy engagement building anti-money laundering detection systems for capital markets: designing and optimising data pipelines, detection rules, and scoring components. Core stack: Python, Java, PySpark/SQL on distributed clusters, Quantexa (Scala), and CI/CD with Bamboo/Jenkins and Bitbucket.

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

Summary: 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.

Responsibilities:

  • 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.

Must Haves:

  • 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.

Nice to Have:

  • 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.

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