Xebia sp. z o.o.

GCP Data Modeler

Brak informacji o wynagrodzeniu

SeniorOn-site·PolandFull-time

#453119·Dodano miesiąc temu·0

Źródło: Xebia

Aplikuj teraz

Tech Stack / Keywords

Data ModelingSQL Google Cloud Platform GCPdbt Core

Firma i stanowisko

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. In the CEE region, the company has nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients across various industries, working with technologies including AWS, Azure, GCP, Databricks, and Snowflake.

Wymagania

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 existing data architectures and design clear, scalable target-state models
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

Obowiązki

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 models reflect business and Data Quality requirements
Working closely with Data Engineers during implementation and supporting them in translating models into scalable data solutions
Collaborating with Test Engineers during model validation, reconciliation and testing
Reviewing implemented data structures to ensure alignment with 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

Inne informacje

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

Xebia sp. z o.o.

124 aktywne oferty

Zobacz wszystkie oferty

Aplikuj teraz