Senior Data Engineer

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 175 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.