About the role
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
- Designing, configuring, implementing, and enhancing the Google Knowledge Catalog platform.
- Developing integrations supporting automated metadata acquisition and synchronization.
- Building and maintaining solutions for metadata enrichment and lifecycle management.
- Designing and implementing data lineage and impact analysis capabilities.
- Integrating the platform with enterprise access management and authorization mechanisms.
- Defining and implementing Infrastructure as Code standards and deployment automation practices.
- Developing technical solutions supporting governance processes and data products.
- Conducting technical analyses, proof of concepts, and development activities.
- Implementing monitoring, reporting, and operational control mechanisms.
- Preparing technical, operational, and maintenance documentation.
- Supporting platform handover, operational readiness, and knowledge transfer activities.
- Collaborating with business analysts, governance teams, and platform stakeholders.
Your profile
- Experience designing and implementing solutions on Google Cloud Platform (GCP).
- Experience with platform configuration and system integration.
- Experience developing enterprise data management or metadata management solutions.
- Understanding of Data Governance and metadata management concepts.
- Experience implementing APIs and system integrations.
- Experience with Infrastructure as Code and deployment automation.
- Experience preparing technical documentation.
- Ability to perform proof-of-concept and technical analysis activities.
- Understanding of access management and authorization concepts.
- Strong problem-solving and communication skills.
- Experience working in multidisciplinary project teams.
Work from the European Union region and a work permit are required.
Nice to have
- Hands-on experience with Google Knowledge Catalog.
- Experience implementing data lineage solutions.
- Knowledge of cloud monitoring and observability practices.
- Familiarity with CI/CD pipelines and DevOps practices.
- Experience in regulated industries.
- Experience supporting production handover and operational readiness processes.
- Experience conducting technical training and knowledge transfer sessions.
Recruitment Process
CV review – HR call – Interview – Client Interview – Decision