Data Engineer Lead: Python/Java/Scala, Spark & Quantexa
DCG is hiring a Data Engineer Lead to design and optimize data pipelines powering AML detection in capital markets, implementing detection rules and scoring components. Daily work spans Python/Java/Scala, Spark, SQL, and Quantexa on distributed on-premise clusters with CI/CD practices.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Design and optimize data pipelines powering AML detection in Capital Markets
- Implement detection rules and scoring components
- Experience with Python, Java, and/or Scala
- Experience with Spark
- Strong SQL skills
- Experience with Quantexa
- Working with distributed on-premise clusters
- CI/CD practices
- Strong analytical skills
- Collaboration in cross-functional teams in fast-paced delivery
Full 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.