Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.556 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop maintainable data pipelines and products in Databricks using Python, implement Azure Data Factory for data ingestion, and ensure quality through testing and monitoring of data flows.
Job Technologies
Your role in the team
- Collaboration with data scientists, analysts, and product owners in building maintainable data pipelines and products.
- Development and operation of Databricks pipelines with Python, Lakeflow Declarative Pipelines, and Jobs/Workflows.
- Use of Azure Data Factory for ingestion/orchestration; integration and optimization of SQL/NoSQL databases.
- Quality assurance through version control, testing, monitoring, SLAs/SLOs, and automated deployments.
- Cost and performance management of productive pipelines.
- Participation in establishing standards, reusable templates, and documentation.
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Our expectations of you
Education
- Degree in Computer Science, Software Engineering, Data Engineering/Data Science, or equivalent practical experience.
Qualifications
- Excellent knowledge of Databricks (Python, Spark SQL, Lakehouse), Declarative Pipelines, and Jobs/Workflows.
- DataOps mindset: versioning, testing, automated deployments, clean release processes.
- Strong communication and teamwork skills; independent, solution-oriented; very good English, German is an advantage.
Experience
- Experience with Azure Data Factory, data modeling, performance tuning, and production systems.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Vienna Insurance Group AG Wiener Versicherung Gruppe
Wien
We are the leading insurance company in Austria and Central and Eastern Europe. We have more than 23,000 employees who stand out through their engagement, competence, and service orientation.
Description
- Company Size
- 250+ Employees
- Founding year
- 1824
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance