Data Engineer
Posted
Summary
Data engineer in Madrid building and managing data pipelines on AWS using Python, SQL, PySpark, Docker, AWS ECS, and Apache Airflow. Requires 3+ years in data engineering (2+ with AWS analytics) and professional fluency in Spanish and English.
- Experience: 3+ years in Data Engineering, including 2+ years leveraging AWS data analytics solutions.
- Core Technical Stack: Python, SQL, and PySpark / Apache Spark.
- Cloud & Infrastructure: Hands-on expertise with AWS Data Services, Docker, and AWS ECS.
- Orchestration: Experience building and managing data pipelines using Apache Airflow.
- Languages: Professional fluency in both Spanish and English (written and spoken).
Nice-to-Have Skills
- Data Processing & Streaming: Apache Kafka, Databricks, and dbt (data build tool).
- BI & Development: QlikView / Qlik Sense and Java programming.
- Methodology: Experience working in Agile/Scrum environments.