Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Temporary
- Salary
- from 4.192 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable ETL pipelines, create interactive dashboards, and work on data products on Databricks while collaborating closely with various departments and ensuring data quality.
Job Technologies
Your role in the team
- Project collaboration: Actively participate in Data Science and Data Engineering projects.
- Data products: Develop, implement, and operate data products on Databricks.
- Data pipelines: Design and implement scalable ETL/ELT pipelines for large data volumes.
- Create visualizations: Interactive dashboards with Streamlit, Dash, or Power BI.
- Requirements analysis: Clarify and specify requirements together with business units, data scientists, and analysts.
- Data quality: Ensure the quality, security, and documentation of data.
- Performance: Analyze and optimize data processes and queries.
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Our expectations of you
Education
- Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Business Informatics, Mathematics, Electrical Engineering, or a related field.
Qualifications
- IT skills: Good knowledge of Python (PySpark) and SQL, including performance optimization.
- Together: Strong communicators, cooperative in an interdisciplinary environment.
- Working style: structured, analytical, solution-oriented.
Experience
- Professional experience: Bachelor's degree with 2+ years of relevant experience.
- Platforms: Experience with Databricks or comparable cloud data platforms.
- Visualization: experience in developing dashboards.
- Knowledge: Experience with NLP or LLM applications.
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Benefits
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Topics that you deal with on the job
This is your employer
APG - Austrian Power Grid AG
Wien
The Austrian Power Grid AG is Austria's independent transmission network operator and responsible for the national high-voltage transmission grid.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Power Sector, Economy