Work model: elastic hybrid from Gdynia / Gdańsk / Warszawa / Łódź (at least 3 days per week from the office)
You will be involved in a financial project focused on building and enhancing AML (Anti-Money Laundering) detection solutions. The project covers end-to-end data processing, detection logic, and scalable engineering solutions supporting financial crime prevention.
responsibilities :
Designing, implementing, and optimising data pipelines supporting AML detection scenarios
Implementing detection logic, rule frameworks, and scoring components for financial-crime use cases
Developing high-quality, scalable, and maintainable code
Working with large-scale distributed data processing environments
Ensuring high engineering standards across code, data pipelines, and operational processes
Collaborating within Agile teams while being able to work independently in a fast-paced environment
requirements-expected :
Strong programming skills in Python
Advanced experience with Apache Spark (PySpark) and SQL for large-scale data processing
Hands-on experience with distributed computing platforms and on-premise cluster environments
Experience with CI/CD tools (Bamboo, Jenkins) and Bitbucket
Strong analytical and problem-solving skills with the ability to adapt quickly
Experience working in Agile environments
Good communication skills in English (min. B2 level)
offered :
You can expect a flexible work organization
The international work environment will give you the opportunity to interact with the English language on a daily basis
Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit)
The Jit community will bring you a nice time during regular integration meetings
