Aerospace Data Engineer: Cloud Pipelines & Spark
Summary
Designs and maintains cloud-based data pipelines using Python, SQL, Databricks, and Spark to process large datasets for predictive maintenance in aerospace.
Inetum is seeking a Data Engineer to design, develop, and maintain data pipelines in a cloud-based environment. The role focuses on building scalable ETL processes, processing large data volumes, and ensuring data quality for predictive maintenance projects.
The ideal candidate will have strong Python experience, solid SQL skills, and hands-on work with Databricks and Spark, plus familiarity with Azure data services. English and Polish at B2/C1 are required for collaboration across teams.