Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Gemeinde Wiener Neudorf
- Working Model
- Onsite
AI Summary
In this role, you will drive the automation of battery data analysis, particularly through the development and optimization of our ETL processes and data pipelines.
Job Technologies
Your role in the team
- Exciting tasks in the field of battery data analysis with a focus on automating data communication, specifically:
- Further development of our ETL framework
- Further development of our Data Pipeline
- Development of Machine Learning Algorithms
- Processing large volumes of data
- Statistical analysis of databases
This text has been machine translated. Show original
Our expectations of you
Education
- Completed degree in Computer Science or a comparable qualification
Qualifications
- Solid Python skills
- Knowledge in handling SQL
- Knowledge in designing and using REST APIs
- Independent, structured, and precise way of working
- Good German or English skills in spoken and written form
- Enjoyment of independent work
- High willingness to learn and enthusiasm for new challenges
Experience
- Experience in DevOps and MLOps methods
- Professional experience in software development is an advantage.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Job Locations
Location Gemeinde Wiener Neudorf
Niederösterreich
Austria
Topics that you deal with on the job
This is your employer
AVILOO GmbH
Mödling
The company has developed an independent diagnostic procedure for batteries in electric cars, which will be available soon. AVILOO is a startup located near Vienna, Austria. Wolfgang Berger and Nikolaus Mayerhofer founded AVILOO with the goal of bringing an independent battery diagnosis to market for electric cars.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization
Data Engineer
- Location
- Gemeinde Wiener Neudorf
- Working Model
- Onsite
