Senior Data Engineer - AML & Data Pipelines

Solid Company; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Solid Company in Warsaw is seeking a skilled data engineer to design, implement, and optimize data pipelines powering AML detection in Capital Markets. You will develop detection logic, rule frameworks, and scoring components for financial crime use cases, while ensuring high-quality engineering across code and operations.

The role requires strong programming in Python/Java/Scala, expertise with Apache Spark (PySpark) and SQL, hands-on Quantexa experience, and proficiency with CI/CD tools in an

Qualifications

• Strong programming skills in Python, Java, and Scala.
• Advanced experience with Apache Spark (PySpark) and SQL for large-scale distributed data processing
• Hands-on experience with Quantexa
• Proven experience with distributed compute platforms and on-premise cluster environments
• Proficiency with CI/CD tools such as Bamboo/Jenkins and Bitbucket
• Experience working in Agile teams and independently in fast-paced, evolving environments
• Strong analytical and problem-solving skills with the ability to adapt quickly
• Very good command of English, both spoken and written

Responsibilities

• Design, implement, and optimize data pipelines supporting end-to-end Capital Markets 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 greenfield architecture with ownership, innovation, and focus on delivery excellence

Skills

Python

Java

Scala

PySpark

SQL

Quantexa

CI/CD (Bamboo/Jenkins)

Bitbucket

Agile

English (Fluent)

Tools

Quantexa

Apache Spark

Bamboo

Jenkins

Bitbucket

Job description

Solid Company in Warsaw is seeking a skilled data engineer to design, implement, and optimize data pipelines powering AML detection in Capital Markets. You will develop detection logic, rule frameworks, and scoring components for financial crime use cases, while ensuring high-quality engineering across code and operations.

The role requires strong programming in Python/Java/Scala, expertise with Apache Spark (PySpark) and SQL, hands-on Quantexa experience, and proficiency with CI/CD tools in an