
Xebia's Collaboration with RTS for Data-Driven Excellence
Xebia and RTS join forces to enhance media impact through an ethical data strategy, unlocking potential and fostering collaboration.
Celebrating our continued leadership and impact in data transformation with dbt
Through a close partnership with dbt Labs, Xebia supports organizations in building trusted, well-governed analytics workflows. By combining engineering best practices with deep knowledge of the dbt ecosystem, we help teams structure, transform, and document data more effectively - enabling faster decision-making and long-term maintainability within modern cloud environments.
Successfully delivered over 50 client deployments across both dbt Core and dbt Cloud versions.
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Awarded 2024 EMEA Services Partner of the Year.
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Our Expertise
Our Work
Fundamentals of Analytics Engineering
Explore the complete analytics lifecycle - from data ingestion and modeling to governance and CI/CD automation. Learn practical strategies to build scalable analytics solutions using tools like Airbyte, dbt, and Tableau.
Our People
Analytics Engineer with extensive experience in data engineering, BI development, and data analysis across various industries. He helps clients deploy data platforms, onboard business use cases, and improve employees’ data literacy.
Juan is an Analytics Engineer who blends deep expertise in SQL, data governance, and BI with a passion for community building. As Xebia’s first analytics engineer, he’s been shaping the field since 2020, while also sharing his knowledge at global conferences and through meetups.
Marek is a seasoned Data and Cloud Architect with 15+ years of experience. He specializes in building modern data platforms and MLOps solutions, helping organizations scale their AI capabilities through solid architecture and cloud-native practices.
Lucy is a Data Science Educator who combines her background in teaching and risk analytics. With experience building training programs and years of coding under her belt, she’s passionate about helping others learn data science quickly and effectively.
Our Ideas
A practical guide to streamline legacy-to-modern analytics migration with focused insights on architecture, automation, and team enablement using Snowflake and dbt.
Read blogAn in-depth look at dbt Cloud’s key features, capabilities, and limitations to help teams make informed decisions about adopting it in modern data workflows.
Read blogA hands-on guide to setting up the new dbt Semantic Layer and testing it with DBeaver to streamline data access and improve model validation.
Read blogA practical introduction to using dbt Bouncer for enforcing and maintaining naming conventions and best practices in dbt projects.
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