Senior Data Solutions Engineer SQL & Python for banking

Industry: banking Location: hybrid - 3 days per week from office in Warsaw or Gdańsk Rate: 165 pln/h on b2b Summary: We're looking for a Senior Data professional with strong SQL and Python skills to design data models, define data mappings, and translate business requirements into scalable technical solutions in a banking environment. Main Responsibilities: * Design 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 activities. Key Requirements: * Extensive experience in data modeling 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 modeling. * 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.