Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and thousands of professionals across multiple countries. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, delivering modern data platforms and AI solutions for clients across Europe. The project involves migrating legacy and TMS-related data into Google BigQuery as part of a broader data platform modernization initiative. You will design ingestion frameworks, implement transformation pipelines, ensure data quality, and deliver production-grade datasets for analytical consumption. Key technologies include SQL, Data Reconciliation, Data Quality Testing, and ETL/ELT Validation. Preferred: Google BigQuery, Python, BI/Reporting Testing, APIs, Data Profiling. Nice to Have: Looker, dbt, Airflow/Composer, GCP, Data Observability, Data Governance. Your responsibilities include strong SQL skills, validating data across systems, validating ETL/ELT pipelines, understanding data models, testing structured and semi-structured data, translating business requirements into test scenarios, and documenting defects with Data Engineers. Your profile includes hands-on experience with Google BigQuery, data migrations or reporting platform migrations, validation of dashboards/KPIs, understanding ETL/ELT concepts, experience with automated data validation using SQL and/or Python, and familiarity with APIs, data lineage, and data quality dimensions. The role is remote from EU regions, and a valid work permit is required. Recruitment Proc

Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and thousands of professionals across multiple countries. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, delivering modern data platforms and AI solutions for clients across Europe. The project involves migrating legacy and TMS-related data into Google BigQuery as part of a broader data platform modernization initiative. You will design ingestion frameworks, implement transformation pipelines, ensure data quality, and deliver production-grade datasets for analytical consumption. Key technologies include SQL, Data Reconciliation, Data Quality Testing, and ETL/ELT Validation. Preferred: Google BigQuery, Python, BI/Reporting Testing, APIs, Data Profiling. Nice to Have: Looker, dbt, Airflow/Composer, GCP, Data Observability, Data Governance. Your responsibilities include strong SQL skills, validating data across systems, validating ETL/ELT pipelines, understanding data models, testing structured and semi-structured data, translating business requirements into test scenarios, and documenting defects with Data Engineers. Your profile includes hands-on experience with Google BigQuery, data migrations or reporting platform migrations, validation of dashboards/KPIs, understanding ETL/ELT concepts, experience with automated data validation using SQL and/or Python, and familiarity with APIs, data lineage, and data quality dimensions. The role is remote from EU regions, and a valid work permit is required. Recruitment Proc