Experteer Overview
As a Data Engineer at Avanade, you will design and build scalable data pipelines and modern data solutions, enabling data-driven decisions for clients. You’ll work within the Data Engineering team on cutting-edge Microsoft cloud technologies and lakehouse architectures, collaborating with architects, data scientists, and BI professionals. You’ll help ensure data quality, security, and performance while engaging in international projects. This role offers exposure to leading-edge tools and a chance to stay ahead in a fast-evolving field.

Compensaciones / Incentivos
• Design, develop, and maintain scalable data pipelines and ETL/ELT processes
• Build modern data solutions using Databricks and cloud technologies
• Develop and optimize data transformations using Python, PySpark and SQL
• Work with Delta Lake and lakehouse architectures to process large volumes of structured and unstructured data




• Implement data ingestion, transformation, integration, and quality processes
• Collaborate with Data Architects, Data Scientists, BI specialists, and business stakeholders
• Apply best practices around data quality, performance, governance, security, and maintainability
• Participate in international projects, communicating with clients and colleagues in English

Responsabilidades
• Experience with Databricks
• Proficiency in Python, PySpark, and SQL
• Knowledge of Delta Lake and lakehouse architectures
• Experience with cloud technologies and data pipelines
• Ability to collaborate with cross-functional teams and clients
• Strong data quality, governance, and security awareness

Requisitos principales
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📌 Data Engineer (Databricks) (Madrid)
🏢 Avanade
📍 Madrid