- Salary statistics
- Machine operator, data chip
Machine operator, data chip
30 100 - 34 200 kr / month
Women earn 94% of what men do.
Industriell tillverkning
Salary progression Machine operator, data chip
What does a machine operator within data chips do? – Tasks and work environment
A machine operator within data chips works in high-tech environments where manufacturing and monitoring of equipment for data chip production are central. Tasks include starting, setting up, and monitoring advanced machines, performing ongoing quality checks, and identifying and correcting any errors or deviations in the process. The environment is often cleanroom-based to ensure product quality, which requires high precision, concentration, and technical understanding. Collaboration with engineers, technicians, and other operators is common, and work may be day shifts or shifts depending on production needs.
Salary development over time
The salary for machine operators within data chips has shown a relatively stable and positive trend in recent years. In 2022, the average salary was 30,300 SEK per month, rising in 2023 to 31 400 SEK and reaching 32 600 SEK in 2024. This represents a total increase of approximately 7.6% over three years, slightly above the industry average. This trend is driven by continued high demand for technical skills in electronics manufacturing and a move towards increasingly automated and specialized tasks. The shortage of qualified labor and technological development in the semiconductor industry also positively influence salary levels, although gender pay gaps remain noticeable.
Machine operator, data chip salary – comprehensive overview
- Average salary: 32 600 SEK/month
- Lowest salary: 30,100 SEK/month (female, private sector employee, post-secondary education of 3 years or more)
- Highest salary: 34,200 SEK/month (male, regional sector, high school education up to 2 years)
- Hourly wage: 196 SEK/hour (based on 166 working hours/month)
- Gender differences: Men earn 33 200 SEK, women 31 300 SEK (women earn 94% of men's salaries)
- Regional differences: Salary levels may vary depending on employer and region
Education and qualifications
To work as a machine operator within data chips, a high school education in technology, industry, or electrical/automation is usually required. Many employers prefer candidates with experience from electronics manufacturing or equivalent technical background. Additional education through vocational college, certifications, or internal trainee programs can be advantageous and improve job prospects.
- High school: Technology, industry, or electrical/automation (3 years)
- Vocational college: Production technology or electronics (1–2 years, advantageous)
- Certifications: ESD protection, machine safety, and quality control
- Internship: Usually includes internships or trainee programs with employers
- Prerequisites: Good technical understanding and accuracy
- Tip for choosing: Select education with automation and electronics modules
Working as a machine operator within data chips often involves work in a cleanroom environment, where even small particles can affect product quality. It requires special work clothing and strict routines, making the profession different from many other industrial jobs.
Common benefits and compensations
Many machine operators within data chips are offered benefits such as shift allowances, wellness grants, extra vacation days, and sometimes bonuses for meeting production targets. Other common compensations include opportunities for further training, work clothing, and workplace insurance.
Competition and challenges
The competition for jobs as a machine operator within data chips is currently low, as demand for qualified workers is high and many vacancies exist in the profession. At the same time, technological developments mean that tasks are becoming more advanced, requiring higher education and technical understanding. A challenge is also to stay updated on new machines and production methods. Additionally, shift work and working in cleanroom environments can be demanding for some, requiring good adaptability and precision. The gender gap and pay disparities are further challenges that the industry is working to address.
Tips for those who want to become a machine operator within data chips
To succeed as a machine operator within data chips, it is good to combine technical interest with accuracy and a sense of responsibility. A solution-oriented approach facilitates troubleshooting machines and processes, while patience and concentration are crucial during quality checks and work in cleanrooms. Good teamwork skills are also important, as work often takes place in teams with other operators and technicians. Being flexible and willing to work shifts can increase employment opportunities, especially with larger employers. A desire to continue learning and acquire new skills is appreciated by most employers. Finally, being communicative, as clear reporting of deviations is a key part of the job.
Key facts about machine operator, data chip
- Education level: High school education, preferably with a technical or industrial focus
- Work environment: Cleanroom, shift work, high-tech environment
- Demand: Great opportunities for employment, many vacancies
- Special skills: Quality control, machine monitoring, and technical troubleshooting
Career paths and future prospects
After three to five years in the profession, there are opportunities to advance to leadership roles such as team leader, shift supervisor, or process operator in electronics manufacturing. Some choose to further their education as production technicians or automation engineers, which can open doors to more specialized and higher-paid positions. According to the Swedish Public Employment Service's forecast, job opportunities nationwide are expected to be plentiful over the next five years, with continued high demand for the profession of electrical and electronic equipment assemblers. Despite many leaving the profession, demand is expected to remain stable long-term, providing a solid job market for new and experienced data chip machine operators.
Frequently asked questions about machine operator, data chip
- What does a machine operator, data chip earn?
- The average salary is 32 600 SEK per month, but varies depending on experience, education, and employer. - Are there salary differences between men and women?
- Yes, women earn on average 94% of men's salaries within the profession. - What education is required to become a machine operator, data chip?
- High school education in technology, industry, or electrical/automation is most common, sometimes supplemented with vocational college or certifications. - What is the job market like for machine operators, data chips?
- Opportunities for employment are plentiful, with many vacancies nationwide. - What are the job responsibilities of a machine operator, data chip?
- Responsibilities include setting up, monitoring, and maintaining machines for data chip production, as well as performing quality checks. - What is the highest and lowest salary in the profession?
- The highest salary is 34,200 SEK and the lowest is 30,100 SEK per month, depending on gender, education, and sector. - What personal qualities are important?
- Accuracy, technical interest, teamwork skills, and a sense of responsibility are particularly valuable qualities.
Salary distributed by age and sector
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 29900 kr | 31000 kr |
| 25-34 | 97% | 31200 kr | 32400 kr |
| 35-44 | 91% | 31800 kr | 32900 kr |
| 45-54 | 91% | 32400 kr | 33300 kr |
| 55-64 | 90% | 32500 kr | 33200 kr |
| 65-68 | 32000 kr | 32300 kr | |
| Snitt | 94% | 31600 kr | 32600 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 29900 kr | 31000 kr |
| 25-34 | 97% | 31200 kr | 32400 kr |
| 35-44 | 91% | 31800 kr | 32900 kr |
| 45-54 | 91% | 32400 kr | 33300 kr |
| 55-64 | 90% | 32500 kr | 33200 kr |
| 65-68 | 32000 kr | 32300 kr | |
| Snitt | 94% | 31600 kr | 32600 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 29900 kr | 31000 kr |
| 25-34 | 97% | 31200 kr | 32400 kr |
| 35-44 | 91% | 31800 kr | 32900 kr |
| 45-54 | 91% | 32400 kr | 33300 kr |
| 55-64 | 90% | 32500 kr | 33200 kr |
| 65-68 | 32000 kr | 32300 kr | |
| Snitt | 94% | 31600 kr | 32600 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 29400 kr | 30500 kr |
| 25-34 | 97% | 31300 kr | 32600 kr |
| 35-44 | 91% | 32600 kr | 33900 kr |
| 45-54 | 91% | 33200 kr | 34300 kr |
| 55-64 | 90% | 33600 kr | 34500 kr |
| Snitt | 94% | 32100 kr | 33200 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 29400 kr | 30500 kr |
| 25-34 | 97% | 31300 kr | 32600 kr |
| 35-44 | 91% | 32600 kr | 33900 kr |
| 45-54 | 91% | 33200 kr | 34300 kr |
| 55-64 | 90% | 33600 kr | 34500 kr |
| Snitt | 94% | 32100 kr | 33200 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 29400 kr | 30500 kr |
| 25-34 | 97% | 31300 kr | 32600 kr |
| 35-44 | 91% | 32600 kr | 33900 kr |
| 45-54 | 91% | 33200 kr | 34300 kr |
| 55-64 | 90% | 33600 kr | 34500 kr |
| Snitt | 94% | 32100 kr | 33200 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 31000 kr | 32300 kr |
| 25-34 | 97% | 30800 kr | 31700 kr |
| 35-44 | 91% | 30200 kr | 30900 kr |
| 45-54 | 91% | 30500 kr | 31100 kr |
| 55-64 | 90% | 30400 kr | 30900 kr |
| Snitt | 94% | 30600 kr | 31300 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 31000 kr | 32300 kr |
| 25-34 | 97% | 30800 kr | 31700 kr |
| 35-44 | 91% | 30200 kr | 30900 kr |
| 45-54 | 91% | 30500 kr | 31100 kr |
| 55-64 | 90% | 30400 kr | 30900 kr |
| Snitt | 94% | 30600 kr | 31300 kr |
| Age | Base salary | Monthly salary | |
|---|---|---|---|
| 18-24 | 106% | 31000 kr | 32300 kr |
| 25-34 | 97% | 30800 kr | 31700 kr |
| 35-44 | 91% | 30200 kr | 30900 kr |
| 45-54 | 91% | 30500 kr | 31100 kr |
| 55-64 | 90% | 30400 kr | 30900 kr |
| Snitt | 94% | 30600 kr | 31300 kr |
About the data
All information displayed on this page is based on data from the Swedish Central Bureau of Statistics (SCB), the Swedish Tax Agency and the Swedish employment agency. Learn more about our data and data sources here.
All figures are gross salaries, meaning salaries before tax. The average salary, or mean salary, is calculated by adding up the total salary for all individuals within the profession and dividing it by the number of individuals. For specific job categories, we have also considered various criteria such as experience and education.
Profession Machine operator, data chip has the SSYK code 8212, which we use to match against the SCB database to obtain the latest salary statistics.
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