Data Engineer With German - Senior - Ey Gds Spain - Hybrid

Experteer Overview As a Senior Data Engineer at EY GDS Spain, you design, build, and maintain scalable data pipelines that power batch and streaming analytics.You will work within a cross?functional, international team to support digital transformation and data-driven solutions for stakeholders.You’ll apply engineering best practices to deliver reliable, production?ready data platforms using modern technologies.This role combines hands?on data processing with collaboration across global projects and a hybrid work setup.Compensaciones / Beneficios- Design and develop scalable data pipelines for batch and streaming processing- Implement and maintain efficient ETL/ELT workflows for data ingestion and transformation- Process and analyze large-scale datasets using distributed technologies such as PySpark- Optimize data performance, quality and reliability across systems and pipelines- Collaborate with cross-functional teams to deliver robust, data-driven solutions- Apply best software engineering practices to ensure clean, maintainable and production-ready codeResponsabilidades- 3+ years of experience in Data Engineering or related field- Bachelors in Computer Science, Engineering, Data Engineering or related field- Strong Python for data processing and automation- Advanced SQL proficiency for data extraction and performance optimization- Practical experience with PySpark for distributed data processing- Experience designing ETL/ELT pipelines for batch and/or streaming data- Understanding of data modeling and data warehouse/lake architectures- Experience with distributed systems and large-scale data environments (e.G., Spark)- Familiarity with Parquet, ORC, JSON and Avro data formats- Strong communication skills in cross-functional and international teams- Fluency in German (mandatory)- Proficiency with MS Office SuiteRequisitos principales- hybrid work model- tailored training and development- well-being programs (psychological support)- volunteering opportunities- recognition and rewards programs

3+ years of experience in Data Engineering or related field

• Bachelors in Computer Science, Engineering, Data Engineering or related field
• Strong Python for data processing and automation
• Advanced SQL proficiency for data extraction and performance optimization
• Practical experience with PySpark for distributed data processing
• Experience designing ETL/ELT pipelines for batch and/or streaming data
• Understanding of data modeling and data warehouse/lake architectures
• Experience with distributed systems and large-scale data environments (e.G., Spark)
• Familiarity with Parquet, ORC, JSON and Avro data formats
• Strong communication skills in cross-functional and international teams
• Fluency in German (mandatory)
• Proficiency with MS Office SuiteRequisitos principales