Salary by experience
View as table
| Experience | Salary (CHF) |
|---|---|
| 0-2 yrs | CHF 30'000 |
| 3-5 yrs | CHF 36'351 |
| 6-8 yrs | CHF 36'200 |
Top HR
Swiss professionsIT & Computing
Dateningenieur/in
You build and maintain data architectures for modern companies
01 · Overview
What this profession is about
Dateningenieurinnen und Dateningenieure process raw data into actionable insights and maintain the underlying infrastructure.
In the digital world, data is the new raw material. As Dateningenieur/in, you turn these huge amounts of data into clear information. You design the technical pathways, maintain the storage structures, and ensure that all experts can reliably access up-to-date information. Your craft forms the foundation for data-driven decisions in the modern economy.
FieldIT & Computing
Education pathSpecialisation / Professional Function
IndustryIT Development
Swissdoc 0.564.24.0
02 · Salary
What you can earn
No verified Swiss salary data is available for this profession yet.
Salaries reflect Swiss market data. Range covers entry to senior. Salary reference based on Dateningenieur/in.
Salary trend
+718% over decadeView as table
| Period | Salary (CHF) |
|---|---|
| 2017-2019 | CHF 25'667 |
| 2020-2022 | CHF 36'351 |
| 2023-2025 | CHF 210'000 |
03 · Pathway
How to enter and grow
Swiss training pathway available in the full profile
- 🎓 Dateningenieur/in
Official education path
Entry is through a university degree or higher vocational training focused on computer science and data processing.
Typical training path
Dateningenieur/in
Prerequisites
- University degree or higher vocational training in an IT or technically related field
- Depending on entry level: at least two years of relevant professional practice
- Experience in the development of applications in programming languages such as Java, Python or SQL
- Experience in cloud architectures, coding and database design
- IT security experience
- Very good English skills
Where this can lead
Lateral entry is possible if you can prove practical experience in data processing or related IT areas.
04 · Skills & fit
What it takes
Required skills
- Technical understanding
- Analytical thinking
- Team communication
- Process optimization
Personality fit
- Swiss career path
- Career transition
- Professional growth
05 · Daily reality
What the work feels like
Typical day
In the morning, you check the automated data flows for errors and adjust the configurations so the systems run stably. Afterwards, you coordinate with analysts on which data structures are needed for the next project.
- You develop and maintain data pipelines for the automatic processing of large amounts of data.
- You integrate and standardize information from various internal and external sources.
- You structure and model data for efficient storage and fast querying.
- You clean and validate raw data to ensure quality and consistency.
- You manage databases and cloud storage and optimize their performance and scalability.
- You align requirements with Data Scientists and analysts to deliver suitable data structures.
Working conditions
You work in IT departments of companies, consulting firms, or technology providers. Your workplace is usually a modern office with access to servers and development environments.
Strengths
- Technical understanding
- Analytical thinking
- Team communication
- Process optimization
Trade-offs
- High responsibility
- Rapid change
- Complex problems
06 · Similar
