GCP Data Engineer (migration project)

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

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: analyzing the existing business logic implemented in Oracle SQL and PL/SQL, migrating and transforming legacy Oracle-based processing into BigQuery and dbt, leveraging AI/GenAI tools to accelerate code transformation, documentation, and migration activities, validating business logic consistency between Oracle and GCP implementations, implementing new business requirements related to customer record grouping and identification, preparing the solution for future Golden Record capabilities, developing, testing, optimizing, and maintaining data processing solutions on the cloud platform, collaborating with architects, business analysts, data owners, and platform teams, producing and maintaining technical documentation for implemented solutions. Your profile: hands-on experience with Google Cloud Platform (GCP), experience with BigQuery, experience with dbt (Data Build Tool), experience migrating data processing logic from legacy platforms to cloud-based environments, ability to analyze and understand complex business logic implemented in existing systems, experience designing, developing, testing, and optimizing data processing solutions, experience validating business rules and ensuring functional consistency across platforms, experience working with large-scale data transformation projects, strong analytical and problem-solving skills, sbility to collaborate effectively with architects, business analysts, data owners, and technical teams, ability to create and maintain technical documentation, strong communication skills. Work from the European Union region and a work permit are required. Nice to have: experience with Oracle, experience with PL/SQL development and analysis, experience using AI/GenAI tools for software modernization, code transformation, or documentation generation, knowledge of customer master data management concepts, experience with customer identification, matching, or record grouping processes, experience supporting Golden Record or similar master data management initiatives, experience within the banking or financial services sector. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision