Das Engineer salary in Kenya

Average Yearly Salary of Das Engineer in Kenya is approximately 1,343,672 KES (8,555 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Das Engineer do?

A Data Engineer is responsible for designing, developing, and maintaining the infrastructure required for processing and analyzing large volumes of data. They work closely with data scientists, analysts, and other stakeholders to ensure that data is collected, stored, and processed efficiently. The role involves building and managing data pipelines, data warehouses, and databases, as well as implementing data integration and ETL (Extract, Transform, Load) processes. Data Engineers also play a crucial role in ensuring data quality, data governance, and data security. They are proficient in programming languages such as Python, SQL, or Java, and have a strong understanding of database systems, cloud platforms, and big data technologies. In addition, they possess strong problem-solving and analytical skills, as well as the ability to communicate complex technical concepts to non-technical stakeholders.

Skills: Data Engineer, Database Management, Data Integration, ETL, Big Data, Cloud Computing
Job industry: Engineering

How much does Das Engineer make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Das Engineer a well paid job?

Yes, our data shows that Das Engineer is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Das Engineer?

High salary for Das Engineer would be somewhere between 1,478,039 KES and 1,948,324 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Das Engineer in Kenya?

Living in Kenya the approximate monthly expenses are: 240 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 1,343,672 KES
Estimated Monthly Salary: 111,973 KES
Estimated Weekly Salary: 25,840 KES per week
Estimated Hourly Salary: 646 KES per hour
By working as Das Engineer a person can save up to 473 USD per month or 5,675 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Das Engineer

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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