Senior Data Engineer (ETL / Big Data)

DCG facilitates the connection between business needs and individual ambitions, helping candidates find suitable environments to grow and companies to build effective teams. They work closely with people and organizations to create lasting and valuable relationships.

• 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 including 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 using data from multiple sources including 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 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 implementations and enhancements
• 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 implement 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 issues