Expert Data Engineer

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

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

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

Requirements:

• 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

Nice to have:

• Understanding of Capital Markets products, including FX, Equities, Derivatives, and Bonds
• Previous experience in Financial Crime, AML, or surveillance use cases
• Experience implementing rule-based detection systems, scorecards, or alerting frameworks
• Experience delivering against NFRs, including performance, scalability, observability, data quality, resiliency, and security
• Experience with automation, including automated pipeline deployment, data validation, testing frameworks, and workflow orchestration
• Experience integrating solutions with third-party systems, including case management systems
• Strong can-do attitude and ability to collaborate effectively in a cross-functional team

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant