Knowmad Mood is a leading digital transformation company at the forefront of technology and sustainable development. With more than 3,000 creative and innovative professionals connected worldwide, we strive to deliver real value to clients while empowering our people. We are seeking a Senior Data Engineer with strong Databricks and Apache Spark experience to design scalable cloud data architectures in Madrid, Spain, with remote work options. Requirements: more than five years of hands-on experience in data engineering and big data; extensive experience with Databricks and Apache Spark (PySpark); design and implementation of data solutions on Microsoft Azure; strong SQL and Python skills with clean code and object-oriented programming; experience with streaming technologies such as Azure Event Hubs and Kafka; solid knowledge of dimensional modeling and data warehouse design; experience building cloud-native, scalable, reliable, and maintainable data platforms; excellent communication and stakeholder management with the ability to influence and guide teams without direct project delivery responsibility; proactive, solution-oriented and focused on continuous improvement; advanced English. Responsibilities: design and develop scalable cloud data architectures with emphasis on performance, security, reliability, and cost optimization; lead the adoption of data engineering best practices using Databricks, Apache Spark, and modern data platform technologies; develop reusable data ingestion frameworks and reference patterns to integrate data from corporate apps, APIs, streaming pla

Knowmad Mood is a leading digital transformation company at the forefront of technology and sustainable development. With more than 3,000 creative and innovative professionals connected worldwide, we strive to deliver real value to clients while empowering our people. We are seeking a Senior Data Engineer with strong Databricks and Apache Spark experience to design scalable cloud data architectures in Madrid, Spain, with remote work options. Requirements: more than five years of hands-on experience in data engineering and big data; extensive experience with Databricks and Apache Spark (PySpark); design and implementation of data solutions on Microsoft Azure; strong SQL and Python skills with clean code and object-oriented programming; experience with streaming technologies such as Azure Event Hubs and Kafka; solid knowledge of dimensional modeling and data warehouse design; experience building cloud-native, scalable, reliable, and maintainable data platforms; excellent communication and stakeholder management with the ability to influence and guide teams without direct project delivery responsibility; proactive, solution-oriented and focused on continuous improvement; advanced English. Responsibilities: design and develop scalable cloud data architectures with emphasis on performance, security, reliability, and cost optimization; lead the adoption of data engineering best practices using Databricks, Apache Spark, and modern data platform technologies; develop reusable data ingestion frameworks and reference patterns to integrate data from corporate apps, APIs, streaming pla