AML Detection Engineer – Scalable Capital Markets Data Pipelines

Jit Team; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Flexible work organization

International work environment

Scandinavian organizational culture

Training financed by Jit

Jit community

Job summary

Jit Team in Warsaw, Poland, is seeking a skilled AML/Big Data Engineer to join a greenfield platform in capital markets. You will design and build high-performance data pipelines in PySpark and Python, implement rule-based detection, and contribute to scalable detection architectures in an Agile environment.

This role offers a flexible work organization, an international setting with English daily, training funded by Jit, and opportunities to work on cutting-edge regulatory compliance solutions

Qualifications

• Strong programming skills in Python and Java.
• Hands-on experience with Apache Spark (PySpark) and SQL for large-scale data processing.
• Experience working with distributed computing platforms and on-premise environments.
• Knowledge of CI/CD practices and tools such as Jenkins, Bamboo, and Bitbucket.
• Understanding of Capital Markets products, including FX, Equities, Derivatives, and Bonds.
• Experience in AML, Financial Crime, Surveillance, or rule-based detection systems will be an advantage.
• Familiarity with automation, testing frameworks, and integration with third-party systems.
• Strong analytical mindset, problem-solving skills, and ability to work effectively in an Agile environment.

Responsibilities

• Design, develop, and optimize AML detection data pipelines for large-scale capital markets environments.
• Implement and enhance detection rules, scoring models, and alerting frameworks supporting financial crime prevention initiatives.
• Process and analyze high-volume datasets using Python, Java, PySpark, and SQL.
• Collaborate with cross-functional teams to deliver scalable and reliable distributed data processing solutions.
• Contribute to the development of a greenfield AML platform, driving architecture, engineering standards, and best practices.
• Ensure high levels of performance, scalability, data quality, observability, and resilience across the solution landscape.
• Develop and maintain CI/CD pipelines and support automation of deployment, testing, and validation processes.
• Integrate AML solutions with third-party systems, including case management platforms and other enterprise applications.
• Participate in Agile ceremonies, technical discussions, code reviews, and continuous improvement initiatives.
• Support the delivery of innovative solutions that strengthen regulatory compliance and financial crime detection capabilities.

Skills

Python

Java

PySpark

SQL

Agile

Data pipelines

Tools

Jenkins

Bamboo

Bitbucket

CI/CD

Distributed computing

Job description

Jit Team in Warsaw, Poland, is seeking a skilled AML/Big Data Engineer to join a greenfield platform in capital markets. You will design and build high-performance data pipelines in PySpark and Python, implement rule-based detection, and contribute to scalable detection architectures in an Agile environment.

This role offers a flexible work organization, an international setting with English daily, training funded by Jit, and opportunities to work on cutting-edge regulatory compliance solutions