Big Data Architect

OMODA Motors is a new brand built by Chery Group, which is a leading Chinese automobile company. OMODA operates individually from other brands of Chery Its business scope covers R&D, production and sales of passenger cars. Since founded, Chery has always taken adhering to technology-driven strategy, creating a vehicle brand with international competitiveness and influence as its Relying on the constant pursuit of technological innovation, Chery technology of engine, gearbox, chassis, platform and new energy, and the first one in China to export vehicle, CKD parts, engine and vehicle manufacturing technology development, Chery's sales and services network covers more than 80 countries and Design, build, and maintain EU regional data pipelines and data platforms under the Group data platform framework, supporting European business operations. Integrate data from multiple sources such as local sales systems, vehicle telematics data, market research data, and other business systems. Develop and maintain data extraction, transformation, and loading (ETL/ELT) processes to ensure data stability and availability. Support data governance and data quality initiatives to ensure accuracy, consistency, and reliability of EU regional data. Implement GDPR-related technical requirements in data processing, including basic privacy-by-design measures, in collaboration with legal and compliance Provide usable datasets, data models, and basic data services to support data Support performance and cost optimization of data pipelines and data platforms. Monitor data workflows, troubleshoot data issues, and ensure smooth daily operation of data systems. Assist in integrating EU-local data sources, such as regional partners' data, charging infrastructure data, or local market datasets. Work closely with data analysts, business teams, and IT colleagues to continuously improve data availability and usability. Bachelor's degree or above in Computer Science, Data Engineering, Information 3+ years of experience in data engineering, data platform development, or Hands-on experience with data pipelines, ETL/ELT processes, data warehouses, or data lakes. Basic understanding of data governance, data quality management, and GDPR prior EU data experience is a plus but not mandatory. Experience working with multiple data sources; external partner data is a plus. Good problem-solving skills and willingness to learn and grow in a regional data Native-level Spanish and fluent business English; Catalan and Chinese are a