GCP Data Modeler

About the Position

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We are currently looking for a GCP Data Modeler to join our team in Poland. This role involves designing and implementing data models for cloud-native monitoring solutions using Google Cloud Platform (GCP).

Responsibilities

• 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.

Requirements

• 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.

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.

We Offer

• Opportunity to work with a global leader in AI-first digital transformation.
• Collaborate with a diverse team of experts across various industries.
• Work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
• Continuous focus on growth and knowledge sharing.
• Competitive compensation package.

About the Company

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more.

Recruitment Process

1. CV review
2. HR call
3. Interview
4. Client Interview
5. Decision

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