Job
- Level
- Experienced
- Location
- Thalheim bei Wels
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 3.449 to 4.993€ gross/month
Job Summary
In this role, you will develop stable and efficient data pipelines, optimize data processing workflows using technologies like Python, Spark, and Kubernetes, and collaborate closely with various business areas.
Job Technologies
Your role in the team
- The Data Engineering department is characterized by a dedicated, team-oriented work environment.
- Together with your team and colleagues from our business units, you lay the foundation for innovative and forward-looking digital business models.
- Development, operation, and continuous optimization of stable, high-performance data pipelines for various data sources and application areas.
- Recording and technical implementation of requirements in close collaboration with Data Owners, Business Units, and Platform Engineering Teams.
- Development and maintenance of data processing workflows using a modern Data Engineering stack (Python, Kubernetes, Argo Workflows, Spark, and Dremio).
- Ensuring high data availability as well as analyzing and troubleshooting errors throughout the entire processing chain.
- Participation in the further development of the data architecture as well as the creation of technical documentation and reusable components.
- Joint development of innovative solutions for automating and optimizing data engineering.
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Our expectations of you
Education
- Completed degree in Computer Science, Data Science, Software Development, or a comparable qualification.
Qualifications
- Solid knowledge of Python and SQL as well as an understanding of data modeling and data quality requirements.
- Basic knowledge of Docker, Kubernetes, Git, CI/CD (GitLab), and workflow orchestration (e.g., Argo Workflows) is advantageous.
- Structured, analytical work approach and enjoyment of interdisciplinary collaboration with various stakeholders.
- Very good knowledge of English.
Experience
- Experience in processing and transforming data from various source systems (ideally with Spark, Dremio, or similar technologies).
- Professional experience in Data Engineering, Data Science, Software Development, or Business Intelligence is advantageous.
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What we offer
- Flexible working hours and the possibility of partial home office.
- Company cafeteria (Thalheim location) with diverse and seasonal cuisine (meal allowance).
- Parking spaces as well as charging stations for e-cars.
- We will cover the costs of the public transport ticket for your commute from home to work.
- Our wages and salaries are above the collective agreement (KV) of the electrical and electronics industry.
- The statutory minimum values range between € 3,449.08 and € 4,993.21 - with willingness to pay above the minimum.
- The exact amount depends on your qualifications and experience.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Fronius International GmbH
Pettenbach, Sattledt, Steinhaus, Thalheim Bei Wels, Wels, Stierofen, Wien, Neuhof, Berlin, Wels, Pettenbach, Wels
Today, Fronius stands on three main pillars: Perfect Welding, Solar Energy, and Perfect Charging. Our products are manufactured for the global welding equipment market, we offer inverters and storage systems to photovoltaic customers as well as battery charging systems.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1945
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid
- Industry
- Industry, Production, Electronics, Automatization, Power Sector, Economy
Employer reviews
by devworkplaces.com
Total
(3 Reviews)3.7
Workingconditions
4.6Engineering
3.0Career Growth
3.7Culture
3.7
Data Engineer - Data Integration & Pipelines
- Salary
- 3.449 to 4.993€ gross/monthEstimated net salary based on the gross salary in the job ad.2.432 to 3.213 € net/month
- Location
- Thalheim bei Wels
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
