Data engineer jobs are available in the following contract types:

• data engineer jobs – permanent: in a permanent position, you work as a data engineer long-term. You are guaranteed a steady income and job security.
• data engineer jobs – contract: in a contract position, you work for a fixed period determined in the employment agreement. You can determine if you enjoy working as a data engineer.
• data engineer jobs – temporary: in a temporary position, you work for the company short-term. You can improve your data modelling and visualisation skills.
• data engineer jobs – full-time: in a full-time position, you work the standard business hours. You will enjoy a regular work schedule.
• data engineer jobs – part-time: in a part-time position, you work reduced hours weekly. Hence, you will have a better work-life balance.

Data engineer jobs involve designing and building data collection tools. You also ensure the data collection tools adhere to the relevant regulations. Other duties include data modelling and testing data systems for flaws. Your role requires attention to detail, as it's your responsibility to identify mistakes in data systems and ensure the systems meet the company’s needs.

Would you like to know more about this job? Then check out the data engineer job profile page.

You will find more information on the data engineer salary on the data engineer job profile page. You can also find the salary for each specific job shown here if you click on the description.

If you are interested in becoming a data engineer, a university degree or an apprenticeship is a great place to begin. For information on the qualifications and relevant education needed for the role, see the 'education and qualifications' section of our data engineer job profile.

To become a data engineer, you require a bachelor’s degree in computer science, data science or software engineering. You will learn the necessary programming skills and data visualisation tools for the role. Some employers require a master’s degree in data science or information science. Consider getting professional certifications, such as AWS Certified Data Analytics or Google Cloud Professional Data Engineer.

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