Data Integration Engineer salary in Kenya

Average Yearly Salary of Data Integration Engineer in Kenya is approximately 1,602,472 KES (10,142 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 Data Integration Engineer do?

A data integration engineer is responsible for designing, developing, and maintaining efficient data integration processes within an organization. They work closely with various stakeholders to understand their data integration requirements and ensure seamless data flow across different systems and platforms. This involves extracting data from multiple sources, transforming and cleaning it, and loading it into a target system or database. They also perform data validation and quality checks to ensure accuracy and consistency. The role requires strong technical skills in data integration tools and technologies such as ETL (Extract, Transform, Load) processes, data warehousing, APIs, and data modeling. Data integration engineers should have a solid understanding of databases, SQL, and programming languages. They need to be detail-oriented, analytical, and possess problem-solving skills to troubleshoot and resolve data integration issues. Effective communication and collaboration skills are essential as they often work with cross-functional teams.

Skills: Data Integration Engineer, ETL, Data Warehousing, Data Modeling, SQL, API
Job industry: Technology

How much does Data Integration 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 Data Integration Engineer a well paid job?

Yes, our data shows that Data Integration 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 Data Integration Engineer?

High salary for Data Integration Engineer would be somewhere between 1,762,719 KES and 2,323,584 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Integration 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: 1,602,472 KES
Estimated Monthly Salary: 133,539 KES
Estimated Weekly Salary: 30,817 KES per week
Estimated Hourly Salary: 770 KES per hour
By working as Data Integration Engineer a person can save up to 605 USD per month or 7,262 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 Data Integration 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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