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:

Gathering, analyzing, and documenting business and functional requirements for Data Quality monitoring.
Analyzing existing Data Quality metrics, controls, and business rules to understand their purpose and expected results.
Translating business needs into clear functional specifications for technical teams.
Supporting the mapping of existing Data Quality controls and requirements to the new solution.
Working with business stakeholders and technical teams to clarify requirements and resolve inconsistencies.
Facilitating workshops and discussions with stakeholders.
Defining and documenting Data Quality metrics, validation rules, and acceptance criteria.
Identifying gaps, dependencies, and potential issues in business requirements.
Supporting business testing and validating migrated Data Quality controls.
Comparing results between the existing and new solutions to check their consistency with business expectations.
Preparing and maintaining functional documentation.

Your profile:

At least 5 years of experience as a Business Analyst in IT projects.
Strong experience in gathering, analyzing, and documenting business and functional requirements.
Experience translating business requirements into clear specifications for technical teams.
Experience working on data-related projects, such as data processing, data integration, or data platforms.
Good understanding of Data Quality concepts, including data validation, consistency, completeness, and business rules.
Ability to analyze existing systems, processes, and business logic.
Experience working closely with business stakeholders, developers, Data Engineers, and testers.
Experience defining acceptance criteria and supporting UAT or business testing.
Strong analytical, communication, and problem-solving skills.
Ability to work independently and manage requirements across multiple stakeholders.

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

Nice to have:

Experience in banking or financial services.
Experience with Data Quality monitoring or data migration projects.
Knowledge of SQL and relational databases.
Familiarity with cloud data platforms, particularly GCP and BigQuery.
Understanding of dbt or similar data transformation tools.
Familiarity with Ab Initio or other ETL and data integration solutions.

Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily analytical and documentation work.
Interest in and familiarity with emerging AI-driven practices (e.g. automation of analysis tasks, AI-supported documentation, or workflow optimization), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

Research Scientist, Kaggle

Research Scientist, Kaggle

Senior Business Analyst

You will be:

Your profile:

Nice to have:

Recruitment Process:

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