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September 25, 2026

Data Modeling Architect (Mid-Level)

Mid • On-site

240,000 - 300,000 PLN/yr

Warsaw, Maz, Poland

Quick Facts

  • Role: Data Modeling Architect (mid-level)
  • Work mode: Hybrid (8 days per month from office, rest remote)
  • Contract/Rate: 1000–1250 PLN per MD (B2B)

Description

You will join a banking program focused on processing, integrating, and ensuring the quality of data for individual, corporate, and institutional customers. The role involves designing, building, and maintaining ETL/ELT pipelines, implementing transformations and quality controls, and integrating source systems into target analytical structures. You will also optimize performance for large-scale batch and stream processing and support releases with tests and technical documentation.

Responsibilities

  • Design, build, and maintain ETL/ELT data flows and processing pipelines
  • Implement transformations, validation, data quality rules, and error-control mechanisms
  • Integrate data from source systems into target analytical structures
  • Optimize query and data-processing performance
  • Prepare technical tests, documentation, and support deployment of changes
  • Collaborate with a data analyst, data modeler, architect, and maintenance teams

Requirements

  • Experience in designing and implementing ETL/ELT processes
  • Experience with batch or streaming data processing
  • Very good SQL knowledge
  • At least one programming/scripting language (e.g., Python)
  • Knowledge of data warehouses and data lake/lakehouse
  • Experience with orchestration and monitoring of data processing
  • Experience optimizing queries and working with large volumes of data while ensuring data quality
  • Ability to work with a code repository: code review, tests, and technical documentation

Benefits

  • Work on ambitious, large-scale projects with room to bring fresh ideas and creativity
  • Opportunity to work with a team focused on adopting new market technologies
  • Participation in Jit communities and training via regular integration/community meetings
  • Banking-domain project delivering data processing and quality assurance at scale

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