onsite
Data Engineer - Bechtle Austria GmbH
Data Engineer
Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure using Python, SQL, and AWS services to support analytics and machine learning initiatives.
About the role
Key Responsibilities
- Design, develop, and optimize ETL pipelines to ingest, transform, and load large volumes of structured and unstructured data into data warehouses.
- Implement data models and schemas that support business intelligence, reporting, and advanced analytics.
- Collaborate with data scientists and analysts to ensure data quality, consistency, and accessibility across platforms.
- Maintain and monitor data infrastructure on AWS (S3, Redshift, Glue, Athena) for performance, reliability, and cost efficiency.
- Automate data workflows using Python and orchestration tools, ensuring robust error handling and logging.
Requirements
- Proven experience as a Data Engineer or similar role, with strong Python and SQL skills.
- Hands‑on experience with AWS data services (S3, Redshift, Glue, Athena) and ETL tools.
- Solid understanding of data modeling, schema design, and performance tuning.
- Experience with big data technologies (Spark, Hive, or similar) is a plus.
- Strong problem‑solving skills and ability to work collaboratively in a fast‑paced environment.