Expert Data Engineer

DCG is a space where business needs and people's ambitions meet. They help candidates find environments to grow and help companies build effective teams by closely listening and responding to what matters to them, creating lasting valuable relationships.

• 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, 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

• 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