Senior Data Engineer (Data Modelling & Python)

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.