---
title: 'GCP Data Modeler at Poland and Eastern Europe'
canonical: 'https://feeny.ai/job/gcp-data-modeler-poland-and-eastern-europe-poland-xztcr3pvfjb7'
type: 'job'
last_seen: '2026-10-19'
---

# GCP Data Modeler at Poland and Eastern Europe

- **Company:** Poland and Eastern Europe
- **Location:** Poland
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-19
- **Apply:** https://job-boards.greenhouse.io/xebiacee/jobs/6219231004

## Job description

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.

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.

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

## About Poland and Eastern Europe

## Company Overview
- **One-liner**: Xebia’s Poland & Eastern Europe (CEE) unit delivers AI-first digital transformation, data platforms, cloud engineering, and custom software for global enterprises.
- **Entity Type**: Private (part of Xebia Group)
- **Headquarters**: Wrocław, Poland (with main offices in Gdańsk and Rzeszów; additional hubs in Bulgaria, Romania, Czechia, etc.)
- **Founded**: The Polish entity formed through the acquisition of PGS Software and GetInData; Xebia itself was founded in 2001
- **Founders**: Not publicly disclosed for the CEE region; Xebia global was founded by Anand Sahay and others

## Core Business
- Primary industries: IT consulting, cloud & data engineering, AI/ML, custom software development
- Target customers: B2B, large enterprises and mid-market across fintech, e-commerce, media, fashion, airlines, logistics, streaming, telecom, retail
- Mission: “Shaping tomorrow with AI today” – combining human expertise with AI to help organizations design and build scalable, data-driven solutions

## Products & Services
- **Cloud & Platform Engineering**: Consulting and implementation for AWS, Azure, GCP, including migration, DevOps, and DevSecOps. (Service)
- **Data Platforms & Analytics**: End-to-end data engineering, Databricks, Snowflake, dbt, and analytics solutions. (Service)
- **AI & Machine Learning**: AI architecture, ML engineering, and AI platform development. (Service)
- **Digital Product Engineering**: Full-stack software development, mobile apps (iOS/Android), and custom application development. (Service)
- **Training & Knowledge Sharing**: Internal guilds, labs, meetups, and conference speaking; covers Azure, AWS, ISTQB, PMI certifications. (Service)

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private entity)
- **Key Metric**: 1,000+ experts in the CEE region (part of 5,000+ global workforce)
- **Notable Investors / Partners**: Partners include Databricks, dbt, Snowflake, Azure, GCP, AWS (first AWS Premier Partner in Poland); clients named: McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, Allegro, InPost, etc.
- **Growth Signals**: Active hiring across 60+ roles (AI Architects, Data Engineers, DevOps, Java, etc.), 95% employee retention over 5 years, 30% hold principal/senior/mid-level positions, 60+ conference speakers, 20+ guilds, strong workation and remote culture

## Competitive Advantages
- **Deep cloud certifications and partnerships** – first AWS Premier Partner in Poland, Gold Partner for Databricks, Snowflake, GCP.
- **Strong engineering community** – over 20 internal guilds & labs, regular meetups (Software Talks, Data Tech Talks), and hosting one of Poland’s largest tech conferences.
- **Longevity & retention** – 95% of employees stay over 5 years, indicating strong culture and career growth.
- **Global delivery model** – combination of client-facing teams in US/Europe with nearshore (CEE, LATAM) and offshore (India) capacity, offering diverse project exposure.

## Strategic Focus
- **AI-first approach** – embedding AI into all service lines and internal operations.
- **Knowledge sharing and thought leadership** – support for conference speaking, open-source contributions, and continuous learning.
- **Scaling the CEE hub** – expanding headcount across cloud, data, and AI roles while maintaining a people-first, flexible work culture.

## Why Work Here
- **Work flexibility**: Hybrid/remote options; work from offices in Wrocław, Gdańsk, Rzeszów (Poland) or fully remote; up to 45 working days per year of “workation”.
- **Growth & development**: Personal development budget for tech & soft skills; full reimbursement for cloud certifications (Azure, AWS, ISTQB, PMI); mentoring and internal training.
- **Engineering culture**: Focus on modern open-source stacks, real ownership, guilds & labs, and a strong knowledge-sharing ethos (60+ conference speakers, meetups).
- **Perks & wellbeing**: Health and wellbeing support, team building events, referral program, and a diverse, inclusive workplace.
- **Notable**: “95% of Xebians have been with us for over 5 years” – signals long-term career stability.

## Sources
1. [xebia.com – Career at Xebia (Poland)](https://xebia.com/careers-poland/)
2. [job-boards.greenhouse.io – Xebia CEE Jobs](http://job-boards.greenhouse.io/xebiacee)
3. [xebia.com – Locations](https://xebia.com/locations/)
4. [job-boards.greenhouse.io – Additional job listing](https://job-boards.greenhouse.io/xebiacee/jobs/5991335004)
5. [xebia.com – Main site](https://xebia.com/)

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