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:Design domain data models for parties, deals, assets and payment plans.
Incorporate auditability and historical data requirements into the data model.
Design event streams and integration patterns using outbox, CDC, Kafka and schema registry.
Design the analytics and reporting layer for Risk, Finance and Sales.
Establish metric definitions and support reconciliation and data lineage.
Design governed data context for AI agents, including knowledge graphs, vector stores and masked datasets.
Define data governance approaches for data quality, retention and access control.
Ensure the data architecture addresses GDPR requirements.
Collaborate across Foundation and Lab to align experimental capabilities with the target production architecture.
Strong experience in data architecture and data modelling.
Experience designing domain data models for transactional systems, including auditability and historical records.
Experience with event driven data integration patterns, including outbox and Change Data Capture (CDC).
Experience with Apache Kafka or comparable event streaming architectures.
Understanding of schema management and schema registry concepts.
Experience designing analytics and reporting data architectures.
Understanding of metric definitions, reconciliation and data lineage.
Strong knowledge of data governance, including data quality, retention and access control.
Knowledge of GDPR requirements relevant to data architecture.
Ability to design architectures that support transactional workloads alongside downstream analytics and AI use cases.
Ability to collaborate across prototype and production oriented engineering streams.
Work from the European Union region and a work permit are required.
Nice to have:Experience designing data architectures for AI or agent based platforms.
Experience with knowledge graphs, vector stores or data prepared for retrieval based AI solutions.
Experience designing approaches for masked or privacy sensitive datasets.
Experience supporting data requirements for Risk, Finance or Sales.
Data architecture experience in financial services, leasing or vendor finance.
Familiarity with data requirements for deterministic core banking systems.
CV review – HR call – Interview – Client Interview – Decision
Skills Required
- Strong experience in data architecture and data modelling
- Experience designing domain data models for transactional systems, including auditability and historical records
- Experience with event-driven data integration patterns, including outbox and Change Data Capture
- Experience with Apache Kafka or comparable event-streaming architectures
- Understanding of schema management and schema registry concepts
- Experience designing analytics and reporting data architectures
- Understanding of metric definitions, reconciliation, and data lineage
- Strong knowledge of data governance, including data quality, retention, and access control
- Knowledge of GDPR requirements relevant to data architecture
- Ability to design architectures supporting transactional workloads alongside downstream analytics and AI use cases
- Ability to collaborate across prototype and production-oriented engineering streams
- Work from the European Union region
- Valid work permit
- Experience designing data architectures for AI or agent-based platforms
- Experience with knowledge graphs, vector stores, or retrieval-based AI data
- Experience designing masked or privacy-sensitive datasets
- Experience supporting data requirements for Risk, Finance, or Sales
- Data architecture experience in financial services, leasing, or vendor finance
- Familiarity with data requirements for deterministic core banking systems
Xebia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.
-
Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
-
Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
-
Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.
Xebia Insights
What We Do
We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]
