onsite
Data Engineer - voestalpine HR Services GmbH
Data Engineer
Design, build, and maintain scalable data pipelines and warehouses using Python, SQL, and cloud technologies to enable reliable analytics and reporting.
About the role
Key Responsibilities
- Develop, test, and deploy robust ETL pipelines to ingest and transform data from multiple source systems.
- Design and optimize data models and warehouses for high‑performance analytics.
- Implement workflow orchestration using Apache Airflow to ensure reliable, scheduled data processing.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Monitor, troubleshoot, and improve pipeline performance and data quality in a cloud environment (AWS).
Requirements
- Strong proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience building ETL processes and data pipelines.
- Familiarity with workflow orchestration tools such as Apache Airflow.
- Experience working with cloud platforms, preferably AWS (S3, Redshift, Glue, etc.).
- Solid understanding of data modeling, relational databases, and data warehousing concepts.