Big Data Engineer
Summary
Designs and maintains scalable data pipelines and ETL/ELT processes, builds data warehouses, and ensures data quality and GDPR compliance for reporting and analytics.
Responsibility
1. Design, build, and maintain scalable data pipelines and ETL/ELT processes.
2. Develop and optimize SQL queries, views, and data transformations.
3. Build and maintain data warehouse structures to support reporting and analytics.
4. Integrate data from multiple business systems, including sales, CRM, ERP, telematics, and external partners.
5. Ensure data quality, accuracy, and reliability through monitoring and validation.
6. 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
1. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
2. 3+ years of experience in Data Engineering, SQL development, or Data Warehouse projects. 3. Strong SQL skills with experience writing and optimizing complex queries.
4. Hands-on experience with ETL/ELT development and data warehouse solutions.
5. Experience working with relational databases and integrating data from multiple sources.
6. Familiarity with cloud data platforms or modern data technologies is a plus.
7. Understanding of data quality, data governance, and GDPR principles.
8. Strong analytical and problem-solving skills.
9. Comfortable working in an international, cross-functional environment.
10. Native-level Spanish and fluent business English. Catalan and Chinese are a plus.