Data Engineer - Data Integration & Pipelines (f/m/d)
About the company
Think ahead, connect, achieve: Guided by these values, we think beyond the limits of what is possible, creating ingenious products and solutions for battery systems, welding technology, and solar electronics. Our secret: We conduct research in laboratories that play every part, work closely with our customers worldwide, and value people who want to drive things forward. At Ve...
Your tasks
The Data Engineering department is characterized by a dedicated, team-oriented working environment. Together with your team and colleagues from our business areas, you will create the foundation for innovative and future-oriented digital business models. Specifically, this means:
- Development, operation, and continuous optimization of stable, high-performance data pipelines for a wide variety of data sources and application areas
- Recording and technical implementation of requirements in close cooperation with Data Owners, specialist departments, 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 analysis and troubleshooting of errors along 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 the automation and optimization of Data Engineering
Requirements
- Completed studies in Computer Science, Data Science, Software Development, or a comparable qualification
- Sound knowledge of Python and SQL as well as an understanding of data modeling and data quality requirements
- Experience in processing and transforming data from different source systems (ideally with Spark, Dremio, or similar technologies)
- Professional experience in the field of Data Engineering, Data Science, Software Development, or Business Intelligence is an advantage
- Basic knowledge of Docker, Kubernetes, Git, CI-CD (GitLab), and workflow orchestration (e.g., Argo Workflows) is an advantage
- Structured, analytical way of working and enjoyment of interdisciplinary cooperation with various stakeholders
- Very good English skills
What we offer
- Flexible working hours as well as the possibility of partial home office
- Company restaurant (Thalheim location) with varied and seasonal cuisine (meal allowance)
- Parking spaces as well as charging stations for e-cars
- For commuting from your place of residence to the workplace, we cover the costs of the public transport ticket
- Vienna location: 5 minutes with bus line 15A from Meidling station
- Mentoring & education program
- Kinderland and crawling group with year-round care at the Sattledt location
- Company events
- Sports offerings (beach volleyball court, coverage of entry fees for various running events, ...)
Our wages and salaries are above the collective agreement (KV) for the electrical and electronics industry. The KV minimum values range between € 3,449.08 and € 4,993.21 - with a willingness to overpay. The exact amount depends on your qualification and experience. We are among the best employers in Austria and offer numerous benefits, a family-like working atmosphere, and exciting development opportunities.
How to apply
Would you like to become part of a dedicated team and make a difference with your energy? Then Mona Gelbenegger looks forward to your meaningful online application.
Other
The minimum remuneration for the position as Data Engineer - Data Integration & Pipelines (f/m/d) is 3,449.08 EUR gross per month based on full-time employment. Willingness to overpay.