Data Engineer - Land Oberosterreich

Key Responsibilities

• Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from diverse sources into data warehouses.
• Implement data quality checks, monitoring, and alerting to ensure high data integrity and availability.
• Collaborate with data scientists and analysts to provide clean, well‑structured datasets for modeling and reporting.
• Optimize query performance and storage costs using AWS services (Redshift, S3, Glue) and Spark.
• Document data models, pipeline logic, and best practices for future maintenance.

Requirements

• 3+ years of experience in data engineering or related field.
• Experience designing data models and building scalable data pipelines.
• Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.