Lead Data Engineer - AML & Capital Markets Pipelines

DCG; Województwo mazowieckie; On-site; PLN 120,000 - 210,000; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consul­t

Job summary

DCG is seeking a data engineering professional to lead and optimize data pipelines for Capital Markets AML detection. You will implement detection logic, scoring, and rule frameworks while ensuring high-quality engineering across code, data pipelines, and operations.

You will contribute to greenfield architecture with ownership and delivery excellence in a fast-paced environment. The role requires strong Python, Java, and Scala skills, plus Spark (PySpark) and SQL experience, and hands-on use of

Qualifications

• Strong programming skills in Python, Java, and Scala.
• Advanced experience with Apache Spark (PySpark) and SQL for large-scale processing.
• Hands-on experience with Quantexa and distributed compute platforms.

Responsibilities

• Design, implement, and optimize data pipelines supporting end-to-end AML detection.
• 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 and delivery excellence.

Skills

Python

Java

Scala

SQL

PySpark

Agile

English

Tools

Quantexa

Bamboo

Jenkins

Bitbucket

Job description

DCG is seeking a data engineering professional to lead and optimize data pipelines for Capital Markets AML detection. You will implement detection logic, scoring, and rule frameworks while ensuring high-quality engineering across code, data pipelines, and operations.

You will contribute to greenfield architecture with ownership and delivery excellence in a fast-paced environment. The role requires strong Python, Java, and Scala skills, plus Spark (PySpark) and SQL experience, and hands-on use of