Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.700 € Gross/Month
- Location
- Frohnleiten
- Working Model
- Onsite
Job Summary
In this role, you analyze machine data and develop data-driven features while building data infrastructures and implementing robust pipelines to successfully execute innovative smart products.
Job Technologies
Your role in the team
At Komptech, you work with real machine data and actively contribute to data-driven functions and products for our machines.
In this role, you combine analysis, technical understanding, and product thinking - from the idea through the proof-of-concept to implementation.
- Participation in innovative projects in the field of Smart Products
- Analysis and interpretation of machine data to derive insights and hypotheses
- Design, development, and further enhancement of suitable data infrastructure (Data Lake, Data Warehouse)
- Data modeling using classical statistical and mathematical methods as well as machine learning techniques.
- Implementation of data-driven use cases in the areas of predictive maintenance, anomaly detection, performance optimization, and more.
- Design and implementation of robust and scalable data pipelines
- Collaboration with internal domain specialists and external partners
This text has been machine translated. Show original
Our expectations of you
Education
- Completed degree in Computer Science, Data Science, Telematics, Mathematics, or a related field.
Qualifications
- Understanding of Data Engineering and production-oriented implementation (ETL/ELT, data preparation, data pipelines)
- Knowledge of common tools and technologies (e.g., SQL/InfluxDB, Git, CI/CD, Grafana, etc.)
- Analytical thinking, curiosity, and enjoyment in testing and developing hypotheses based on data
Experience
- Experience in handling (machine) data, especially time series data.
- Excellent Python skills as well as practical experience with classic Data-Science libraries (e.g., NumPy, pandas, scikit-learn, Pytorch, etc.)
- Practical experience in modeling using classical statistical methods as well as machine learning techniques.
- Experience in the development, evaluation, and further development of (ML) models
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Komptech GmbH
Frohnleiten
Komptech is a leading international technology provider of machines and systems for the mechanical and biological treatment of solid waste and for the pretreatment of woody biomass as a renewable energy source.
Description
- Founding year
- 1992
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Engineering Industry