Data Engineer Lead: Python/Java/Scala, Spark & Quantexa

DCG

Polska

Hybrid

PLN 180,000 - 300,000

Full time

42 hours ago
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Benefits offered by this job

Private medical care

Job summary

DCG is seeking a skilled Data Engineer to design and optimize data pipelines powering AML detection in Capital Markets. You will implement detection rules, scoring components, and ensure high-quality engineering across code and data processing environments.

The role emphasizes fast-paced delivery and collaboration in cross-functional teams. You will work with Python/Java/Scala, Spark, SQL, and Quantexa on distributed on-premise clusters, with CI/CD practices and strong analytical skills.

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.
  • Proven experience with distributed compute platforms and on-premise clusters.
  • Proficiency with CI/CD tools such as Bamboo/Jenkins and Bitbucket.
  • Experience working in Agile teams and independently in fast-paced environments.
  • Strong analytical and problem-solving skills with the ability to adapt.
  • 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 delivery focus.

Skills

Python
Java
Scala
Apache Spark
PySpark
SQL
Quantexa
CI/CD
Agile
English
Data pipelines

Tools

Bamboo
Jenkins
Bitbucket
Quantexa

Job description

DCG is seeking a skilled Data Engineer to design and optimize data pipelines powering AML detection in Capital Markets. You will implement detection rules, scoring components, and ensure high-quality engineering across code and data processing environments.

The role emphasizes fast-paced delivery and collaboration in cross-functional teams. You will work with Python/Java/Scala, Spark, SQL, and Quantexa on distributed on-premise clusters, with CI/CD practices and strong analytical skills.

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