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

DCG; Polska; Hybride; PLN 150 000 - 210 000; Plein temps

Avantages offerts par ce poste

Private medical care

Co-financing for sports card

Dedicated consultant

Résumé du poste

DCG is seeking a skilled data engineering professional to design and optimize data pipelines supporting end-to-end Capital Markets AML detection scenarios. You will implement detection logic and scoring components for financial-crime use cases while ensuring high-quality engineering across code and data pipelines.

Strong programming skills in Python and Java, plus advanced experience with Apache Spark, PySpark, Spark SQL and SQL are required.

Qualifications

• Proficient in Python and Java programming.
• Strong experience with Apache Spark, PySpark, Spark SQL and SQL for large-scale data processing.
• Experience with distributed compute platforms and on-premise clusters.
• Familiar with CI/CD tools (Bamboo/Jenkins, Bitbucket) and Agile teams.

Responsabilités

• Design, implement and optimize data pipelines for 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 solutions.

Connaissances

Python

Java

Spark

PySpark

Spark SQL

SQL

CI/CD

Agile

English

Outils

Bamboo

Jenkins

Bitbucket

Description du poste

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 optimise 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 solutions

Requirements:

• Strong programming skills in Python and Java
• Advanced experience with Apache Spark, PySpark, Spark SQL and SQL for large-scale distributed data processing
• 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 NFRs covering 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
• Ability to collaborate effectively within cross-functional teams with a strong can-do attitude

Offer:

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

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