We are looking for a Data Engineer who enjoys building reliable data pipelines. You are comfortable working with Python, SQL and AWS, understand modern data architecture patterns, and care about data quality, performance, and maintainability. A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡Implement and operate data workflows using AWS (Lambda, Step Functions, S3, Batch, etc.). ● Contribute to the evolution of our Data Platform architecture (Medallion architecture). ● Ensure data quality, consistency, and reliability across pipelines. ● Optimize data transformations for performance and cost efficiency. ● Collaborate with Backend and Frontend Engineers and Product to define data requirements. ● Document data models, transformations and architecture decisions.

Strong





Python skills for data processing. ● Experience building ETL/ELT pipelines in production environments. ● Solid experience with AWS (especially Lambda, Step Functions, S3). ● Strong SQL skills and experience with dimensional data modeling. ● Experience working with structured and semi-structured data (JSON, CSV, Parquet, APIs). ● Understanding of data validation and data quality practices. ● Experience with columnar databases (e.g. ClickHouse, Redshift, BigQuery). ● Terraform). ● Experience with Docker. A modern data stack and room to shape architecture decisions. ● A workplace in the heart of Vienna or remote options with quarterly office weeks in Vienna

📌 Ingegnere Dei Dati (Madrid)
🏢 Mentor Talent Acquisition
📍 Madrid