Jit
Senior Python&Java Developer with Apache Spark NEW
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Nice to have
- Understanding of Capital Markets products including FX, Equities, Derivatives, and Bonds etc
- Previous experience in Financial Crime, AML, or surveillance use cases
- Experience implementing rule-based detection systems, scorecards, or alerting frameworks
- Experience delivering against NFRs such as performance, scalability, observability, data quality, resiliency, and security
- Experience with automation, including automated pipeline deployment, data validation, testing frameworks, and workflow orchestration
- Experience in integrating the solutions with the third party systems (like case management systems)
- A strong “can-do” attitude and the ability to collaborate effectively in a cross-functional team
Full description
Senior Python&Java Developer with Apache Spark
Salary: 1000-1300 PLN/day on B2B
Work model: hybrid from Gdynia / Gdańsk / Warszawa (3 days per week from the office)
Why choose this offer?
- 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
Project
You will be involved in a financial crime prevention initiative within Capital Markets, focused on building and enhancing transaction monitoring and AML detection solutions. The project includes developing large-scale data processing pipelines, implementing detection rules and scoring models, and contributing to a greenfield platform designed to identify suspicious trading and financial activities across products such as FX, Equities, Derivatives, and Bonds.
Responsibilities you'will have
- Design, implement, and optimise data pipelines to support end-to-end capital-markets AML detection scenarios
- Implement detection logic, rule frameworks, and scoring components to support financial-crime use cases
- Ensure high-quality engineering across code, data pipelines, and operational processes
- Contribute to a greenfield architecture with a strong sense of ownership, innovation, and delivery excellence
Expected competences and knowledge
- Strong programming skills in Python and Java
- Advanced experience with Apache Spark (PySpark), SQL for large-scale distributed data processing
- Hands-on experience in distributed compute platforms and on-premise cluster environments
- Proficiency with CI/CD tools such as Bamboo/Jenkins, and Bitbucket
- 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