Big Data Engineer

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Responsibility

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize SQL queries, views, and data transformations.
• Build and maintain data warehouse structures to support reporting and analytics.
• Integrate data from multiple business systems, including sales, CRM, ERP, telematics, and external partners.
• Ensure data quality, accuracy, and reliability through monitoring and validation.
• Support data governance and GDPR compliance in data processing.
• Troubleshoot data issues and continuously improve pipeline performance.
• Work closely with business teams, data analysts, and IT colleagues to deliver reliable data solutions.

Requirement

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 3+ years of experience in Data Engineering, SQL development, or Data Warehouse projects.
• Strong SQL skills with experience writing and optimizing complex queries.
• Hands-on experience with ETL/ELT development and data warehouse solutions.
• Experience working with relational databases and integrating data from multiple sources.
• Familiarity with cloud data platforms or modern data technologies is a plus.
• Understanding of data quality, data governance, and GDPR principles.
• Strong analytical and problem-solving skills.
• Comfortable working in an international, cross-functional environment.
• Native-level Spanish and fluent business English. xbhjioe Catalan and Chinese are a plus.

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