Senior Data Modeller (Python)

Quick Facts

• Role: Senior Data Modeller (Python)

• Contract: B2B, full-time (40 h/week)

• Work model: Hybrid (2 days/week in the office)

• Rate: up to 150 PLN/h net + VAT

• Location: Gdańsk, Gdynia, or Warsaw

• Language: Fluent English

Description

Design and maintain data models for credit and financial data processes. Define and manage data mappings across multiple systems to ensure accurate data integration and transformation, while maintaining data quality, consistency, traceability, and auditability. Work with business stakeholders, architects, and development teams on end-to-end solution design, documentation, testing, and continuous improvement.

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

• Work with business stakeholders, architects, and development teams on end-to-end solution design

• Prepare and maintain technical documentation and functional specifications

• Support process optimisation and automation using AI-assisted tools

• Take part in solution implementation, testing, and continuous improvement

Requirements

• 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 requirements into technical solutions

• Fluent English, written and spoken

Nice to have

• Kafka

• Power BI

• Java development

• Data warehouse concepts and architecture

• AI tools for documentation, testing, data analysis, or development support

• Banking, finance, or regulatory reporting experience

• Credit risk, rating, or financial statement data knowledge