Diverse Consulting Group
Expert Data Engineer Python, Java, Scala, Quantexa, Apache Spark Warszawa, Łódź, Gdańsk, Gdynia
Designs, builds, and optimizes large-scale data pipelines for Capital Markets AML/financial-crime detection, including rule frameworks, scoring components, and greenfield architecture. Core stack: Python, Java, Scala, Apache Spark/PySpark, SQL, Quantexa, and CI/CD tools like Bamboo/Jenkins and Bitbucket.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- 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 ability to adapt quickly
- Very good command of English, both spoken and written
Nice to have
- Understanding of Capital Markets products (FX, Equities, Derivatives, 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: performance, scalability, observability, data quality, resiliency, security
- Experience with automation: automated pipeline deployment, data validation, testing frameworks, workflow orchestration
- Experience integrating solutions with third-party systems, including case management systems
- Can-do attitude and effective collaboration in cross-functional teams
Full 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)