Kamayi Jobs 2026 – Senior Software Engineer (Data Engineering) in Dubai

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Kamayi has put out a job alert for a Senior Software Engineer on the data engineering side, based in Dubai. The Kamayi Jobs post states the pay up front, AED 10,000 to AED 13,000 a month plus benefits, and asks for at least five years behind you.

This Senior Software Engineer Dubai role is warehouse and pipeline heavy. You would design and maintain enterprise database and data warehouse solutions, write and tune stored procedures, packages, functions, triggers, views and heavy SQL, and build ETL and ELT flows across several sources with real data quality controls in place. Query optimisation, indexing, partitioning and workload management all sit in the brief because the volumes are large. Python and PySpark come in for automation, which the Kamayi Jobs listing calls out directly.

There is a 24/7 production support rotation attached, so incident handling and root cause work are part of the deal rather than an afterthought. You would also sit alongside BI, application and business teams, run code reviews and mentor juniors. Anyone tracking Kamayi Jobs for Gulf openings will find this among the more technical Senior Software Engineer Dubai roles on the current list.

Field	Value
Position	Senior Software Engineer (Data Engineering)
Company	Kamayi
Location	Dubai, United Arab Emirates
Job Type	On-site (Full Time), includes a 24/7 production support rotation
Experience Required	5+ years
Expected Salary	AED 10,000 – 13,000/month plus benefits (stated by the employer)
Apply Method	Email at hr@kamayi.pk
Deadline	Not Specified

Kamayi Jobs Requirements

At least 5 years of experience in database and data engineering work
Strong SQL, including stored procedures, packages, functions, triggers and views
Hands-on with dimensional data modelling and ETL or ELT design
Practical experience with query optimisation, indexing and partitioning on high volume data
Python and PySpark for automation
Willing to take part in a 24/7 production support rotation

Job Description

Design, develop, test and maintain enterprise database and data warehouse solutions
Write and tune stored procedures, packages, functions, triggers, views and complex SQL
Build dimensional data models and ETL or ELT processes pulling from several sources, with data quality controls in place
Handle query optimisation, indexing, partitioning and workload management for high volume environments
Automate database and data engineering tasks using Python and PySpark
Take part in 24/7 production support: incident management, troubleshooting and root cause analysis
Work with business stakeholders, BI and application teams, manage deployments across environments, review code and mentor junior developers.