GCP Data Modeler

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. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

Your profile:

• 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.

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