DataStage Developer

DCG is a recruitment company engaged in multiple recruitment projects for its partners, focusing on experienced professionals. The company supports ongoing growth and partnership approaches.

• Hands-on experience with DataStage and Python for data transformation and ETL development
• Strong experience working with Oracle SQL
• Experience integrating and processing data from Kafka, XML, and other structured data sources
• Experience working in Agile environments and using Jira for work management
• Strong IT background with knowledge of data integration, ETL processes, Python, DataStage, Kubernetes, and full-stack environments
• Strong analytical and problem-solving skills
• Ability to work effectively in a collaborative, cross-functional environment
• Fluent English, both written and spoken

Nice to have:

• Experience working in financial institutions, preferably within trading environments
• Knowledge of risk and compliance processes
• Experience with Actimize solutions and implementations
• Familiarity with market surveillance, compliance monitoring, or regulatory reporting solutions

• Design, develop, and maintain ETL processes supporting Market Abuse Surveillance and Compliance solutions
• Build and test data transformation workflows using DataStage and Python
• Develop and maintain data integration solutions collecting information from Kafka, XML files, and database links
• Transform and prepare data according to output file structures and business requirements
• Deliver daily data feeds for a third-party SaaS platform used for market abuse surveillance
• Analyze, validate, and reconcile data to ensure accuracy, completeness, and regulatory compliance
• Collaborate with Compliance, Surveillance, and IT teams to support monitoring process implementation and enhancement
• Perform ETL testing, troubleshooting, and defect resolution across data integration workflows
• Participate in Agile ceremonies and project delivery activities using Jira
• Support onboarding of new data sources and implementation of additional reporting and surveillance requirements
• Contribute to continuous improvement of ETL processes, automation, and data quality controls
• Provide production support for data processing and integration-related issues