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University Assistant (Post-Doc)(m/w/x)
Optimizing data warehouse architecture and ETL processes for query acceleration. Doctoral degree in CS or related field required. Internal and external training opportunities.
Requirements
- Doctoral degree (PhD) in Computer Science, Information Systems, or related field
- Strong background in data warehousing, database systems, or distributed data management
- Experience with ETL pipelines, SQL optimization, and system-level performance tuning
- Familiarity with modern data architectures (star/snowflake schemas, OLAP, data marts)
- Programming and scripting experience (Python, SQL, Java, or comparable technologies)
- Ability to work independently and collaboratively with a team
- Excellent written and spoken English
- Knowledge of German is an advantage
Tasks
- Analyze and optimize data warehouse architecture
- Improve ETL processes
- Implement incremental and source-specific update strategies
- Evaluate optimized data models
- Introduce indexing approaches to accelerate queries
- Enhance system monitoring
- Improve fault tolerance
- Strengthen recovery mechanisms
- Collaborate with technical partners
- Align developments with production workflows
- Work with academic partners
- Publish research results
- Contribute to technical community dissemination
- Participate in organizational tasks
- Support administrative duties
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SQL
- Python
- Java
Benefits
Other Benefits
- Attractive social benefits
- Option for contract extension
Learning & Development
- Internal and external training opportunities
Diverse Work
- Various career options
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University Assistant (Post-Doc)(m/w/x)
Optimizing data warehouse architecture and ETL processes for query acceleration. Doctoral degree in CS or related field required. Internal and external training opportunities.
Requirements
- Doctoral degree (PhD) in Computer Science, Information Systems, or related field
- Strong background in data warehousing, database systems, or distributed data management
- Experience with ETL pipelines, SQL optimization, and system-level performance tuning
- Familiarity with modern data architectures (star/snowflake schemas, OLAP, data marts)
- Programming and scripting experience (Python, SQL, Java, or comparable technologies)
- Ability to work independently and collaboratively with a team
- Excellent written and spoken English
- Knowledge of German is an advantage
Tasks
- Analyze and optimize data warehouse architecture
- Improve ETL processes
- Implement incremental and source-specific update strategies
- Evaluate optimized data models
- Introduce indexing approaches to accelerate queries
- Enhance system monitoring
- Improve fault tolerance
- Strengthen recovery mechanisms
- Collaborate with technical partners
- Align developments with production workflows
- Work with academic partners
- Publish research results
- Contribute to technical community dissemination
- Participate in organizational tasks
- Support administrative duties
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SQL
- Python
- Java
Benefits
Other Benefits
- Attractive social benefits
- Option for contract extension
Learning & Development
- Internal and external training opportunities
Diverse Work
- Various career options
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
TU Wien
Industry
Education
Description
Das Institut für Materialchemie entwickelt und untersucht heterogene Katalysatoren, insbesondere innovative Materialien durch Kombination von Sulfiden und Oxiden, mit Fokus auf die Nutzung von CO2 aus Abgasströmen.
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