Expert Data Engineer Python, Java, Scala, Quantexa, Apache Spark Warszawa, Łódź, Gdańsk, Gdynia

Diverse Consulting Group; Polska; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consul

Job summary

Diverse Consulting Group seeks a skilled Data Engineer to join our analytics projects in Poland. You will design, implement, and optimize data pipelines supporting AML detection, using Python/Java/Scala, Spark, and SQL.

You will contribute to greenfield architecture and deliver high-quality engineering across code, data pipelines, and operations. Collaborate in Agile teams, work independently in a fast-paced environment, and communicate in English as you work with on-premise clusters and CI/CD

Qualifications

• Strong programming skills in Python, Java, and Scala.
• Advanced experience with Apache Spark (PySpark) and SQL for large-scale data processing.
• Hands-on experience with Quantexa and distributed compute platforms.
• Proficiency with CI/CD tools such as Bamboo/Jenkins and Bitbucket.
• Experience in Agile teams and fast-paced environments.
• Excellent English, both spoken and written.

Responsibilities

• Design, implement, and optimize data pipelines for 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 operations.
• Contribute to greenfield architecture with ownership and delivery focus.

Skills

Python

Java

Scala

SQL

Agile

English

Tools

Apache Spark (PySpark)

Quantexa

CI/CD (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

Personal Consulting Agency (License No. 4642)