Senior Data Solutions Engineer (SQL & Python) for banking
⚲ Warszawa, Gdańsk
25 200 - 27 720 PLN netto (B2B)
Wymagania
- Data Integration
- Python
- SQL
- Data modeling
Opis stanowiska
Industry: bankingLocation: 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.
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.
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