Data Solution Designer

Jit Team employs over 770 experts and collaborates internationally to create innovative IT solutions. The company has a decade-long partnership with a leading Nordic financial group, involving over 200 Jit personnel on more than 60 projects for this global Norwegian financial services provider.

• Extensive experience in data modelling and solution design
• Strong SQL skills and hands-on experience with relational databases
• Good programming skills in Python
• Experience with data integration, transformation, and data mapping across multiple systems
• Understanding of APIs, system integrations, and process modelling
• Experience ensuring data quality, consistency, and governance standards
• Strong analytical and problem-solving skills
• Experience working directly with business stakeholders and translating business requirements into technical solutions
• Fluent English, both written and spoken

Nice to have:

• Knowledge of Kafka
• Experience with Power BI
• Familiarity with Java development
• Understanding of data warehouse concepts and architecture
• Experience using AI tools for documentation, testing, data analysis, or development support
• Experience in banking, finance, or regulatory reporting environments
• Knowledge of credit risk, rating, or financial statement data domains

• Design, develop, and maintain data models supporting credit and financial data processes
• Analyse business requirements and translate them into scalable technical solutions
• Define and manage data mappings between multiple systems to ensure accurate data integration and transformation
• Ensure data quality, consistency, traceability, and auditability across the solution landscape
• Collaborate with business stakeholders, architects, and development teams on end-to-end solution design
• Prepare and maintain technical documentation and functional specifications
• Support process optimization and automation using AI-assisted tools
• Participate in solution implementation, testing, and continuous improvement initiatives
• Contribute to establishing data governance standards and best practices