OPTIVEUM sp. z o.o.

Compensation

Full Description

Senior Data Engineer (Data Modelling & Python) Location: Gdańsk / Gdynia or Warsaw (PL) Work Model: Hybrid (2 days in the office; 3 days starting in September) Rate: Up to 150 PLN/h net B2B About the Role At Optiveum, we connect top IT professionals with exciting tech initiatives. By joining us, you will be employed directly by Optiveum and outsourced to work on a highly specialized project for our partner—a leading client in the banking industry. We are looking for an experienced Senior Data Engineer with a strong focus on Data Modelling and Python to design scalable technical solutions and maintain complex data models that support vital credit and financial data processes. Responsibilities Design and maintain data models supporting credit and financial data processes. Analyze 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. Must-Have Skills & Experience 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 (Advanced level). Nice-to-Have Skills Experience in banking, finance, or regulatory reporting environments. Knowledge of credit risk, rating, or financial statement data domains. Understanding of Data Warehouse (DWH) concepts and architecture. Knowledge of Kafka. Experience with Power BI. Familiarity with Java development. Experience using AI tools for documentation, testing, data analysis, or development support.