Staff Cloud Support Engineer - Data Integration & ETL, Clients & Connectivity
A Staff Cloud Support Engineer - Data Integration & ETL, Clients & Connectivity is responsible for key functions within their domain of expertise. In the GCC market, this role is actively hired across saudi with 2 recent postings.
A Staff Cloud Support Engineer - Data Integration & ETL, Clients & Connectivity in the GCC region requires python, java, sql, excel, power bi. A Staff Cloud Support Engineer - Data Integration & ETL, Clients & Connectivity is responsible for key functions within their domain of expertise. This role is.
Salary across the GCC
Monthly gross median in local currency, by country × seniority.
| Country | Junior | Mid-Level | Senior | Lead / Principal |
|---|---|---|---|---|
| United Arab Emirates | 20,000 AED | 34,500 AED | 53,000 AED | 74,000 AED |
| Saudi Arabia | 19,000 SAR | 33,000 SAR | 51,000 SAR | 70,500 SAR |
| Qatar | 21,000 QAR | 36,000 QAR | 55,500 QAR | 77,000 QAR |
| Kuwait | 1,650 KWD | 2,800 KWD | 4,350 KWD | 6,050 KWD |
| Oman | 1,800 OMR | 3,100 OMR | 4,850 OMR | 6,700 OMR |
| Bahrain | 1,700 BHD | 2,950 BHD | 4,600 BHD | 6,350 BHD |
How Staff Cloud Support Engineer - Data Integration & ETL, Clients & Connectivity pay varies in the UAE
UAE · mid-level · monthly gross in AED
Based on 500 data points · updated June 15, 2026 · How we estimate
By company size
Median compensation varies with headcount.
Top-paying industries
Median for this role, ranked by sector.
Estimates modelled from GCC pay surveys and live posting volume — a directional guide, not a live salary feed.
Required skills
Top hiring companies
- Snowflake Inc
Active markets
- saudi
- 01
Data Integration & ETL, Clients & Connectivity Build the future of the AI Data Cloud. Join the Snowflake team. Snowflake Support is committed to providing high
- 02
quality resolutions to help deliver data
- 03
solving skills and be process
- 04
oriented Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues Document known solutions to the internal and external knowledge base Report well
- 05
documented bugs and feature requests arising from customer
- 06
driven architectures and microservices. Able to read library API documentation and use them effectively. Experience with ML tools and libraries, such as TensorFlow, PyTorch, or scikit
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discriminatory factors such as skills, experience, and geographic location. Benefits information can be found on The Lift.
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