[Hiring] GCP Data Modeler @Poland and Middle-Eastern Europe

Role Description

You will be:

• analyzing the existing Data Quality monitoring solution, including its data structures, relationships, dependencies and integration points,
• designing target-state analytical and enterprise data models supporting Data Quality monitoring in GCP,
• defining data structures, modeling patterns and development standards within dbt Core,
• contributing to the design of the target cloud-native monitoring architecture,
• establishing consistent data modeling standards, naming conventions and reusable patterns,
• defining integration principles between the Data Quality solution and other Data Platform components,
• mapping legacy data structures and processes to the target architecture,
• identifying modeling gaps, dependencies and risks affecting the migration,
• collaborating with Business Analysts to ensure that the target models reflect business and Data Quality requirements,
• working closely with Data Engineers during implementation and supporting them in translating the models into scalable data solutions,
• collaborating with Test Engineers during model validation, reconciliation and testing,
• reviewing implemented data structures to ensure their alignment with the agreed models and standards,
• contributing to technical, architectural and maintenance documentation,
• creating and maintaining data model documentation, mapping specifications, data dictionaries and modeling guidelines,
• communicating design decisions and technical concepts clearly to both technical and non-technical stakeholders.

Qualifications

• extensive senior-level experience in Data Modeling,
• proven experience designing analytical or enterprise data models,
• hands-on experience working with Google Cloud Platform,
• practical experience with dbt Core, including defining model structures, dependencies and development standards,
• strong knowledge of SQL-based data environments,
• experience working with cloud-based data platforms and modern data architectures,
• good understanding of Data Quality concepts, controls and monitoring solutions,
• ability to analyze an existing data architecture and design a clear, scalable target-state model,
• experience supporting data migration or transformation initiatives,
• experience collaborating closely with Data Engineering teams,
• ability to define and document data modeling standards, naming conventions and integration principles,
• strong analytical and problem-solving skills,
• excellent communication and stakeholder collaboration skills,
• ability to create clear technical and maintenance documentation,
• ability to work independently and take ownership of data modeling decisions,
• fluent English,
• practical experience using AI-powered assistants, such as ChatGPT, Claude or Copilot, to improve productivity and quality in analytical and documentation work.

Requirements

• Work from the European Union region and a work permit are required.

Nice to have

• experience working in financial services or banking environments,
• knowledge of Data Platform integration patterns,
• experience supporting migrations from legacy data solutions to cloud-native platforms,
• experience designing data models for Data Quality, observability or monitoring solutions,
• familiarity with data reconciliation and validation processes,
• experience working in complex enterprise data environments.

Recruitment Process

• CV review –
• HR call –
• Interview –
• Client Interview –
• Decision