Emirati National Data Engineer Jobs 2025 – Build High Growth Data Solutions with GES Now

Emirati National Data Engineer Jobs 2025 – Build High Growth Data Solutions with GES Now

Table of Contents

  • Job Overview

  • About the Company

  • Available Jobs (Related Data & Analytics Roles)

  • Job Description

  • Job Responsibilities

  • Why This Role?

  • Requirements

  • How to Apply

  • FAQs (Frequently Asked Questions)


Job Overview

Emirati National Data Engineer Jobs are becoming a cornerstone of the UAE’s digital and analytics-driven transformation. GES is currently hiring a Data Engineer – Emirati National Role (ME202501) on a permanent basis, offering UAE Nationals the opportunity to work on modern, enterprise-scale data platforms that power analytics, reporting, and decision-making.

This role is designed for Emirati professionals who want to work hands-on with cloud data technologies, advanced analytics, and emerging AI-driven capabilities. You’ll design and maintain scalable data pipelines, build Power BI insights, and support real-time and AI-ready data solutions using Azure Fabric, SQL, Spark, and Python.

Job Title: Data Engineer (ME202501 – Emirati National Role)
Company: GES
Employment Type: Permanent
Location: United Arab Emirates
Working Model: Full-time (flexibility required during peak periods)
Start Date: To be confirmed
Job Reference Number: VN1405

Opportunity Summary:
You will be responsible for building reliable, governed, and scalable data solutions that enable business intelligence, reporting, and advanced analytics—while contributing to sustainability, governance, and continuous improvement initiatives.

Emirati National Data Engineer Jobs 2025 – Build High Growth Data Solutions with GES Now
Emirati National Data Engineer Jobs 2025 – Build High Growth Data Solutions with GES Now

About the Company

GES is an organization focused on delivering reliable, forward-thinking solutions that support business growth, operational excellence, and long-term sustainability. With a strong emphasis on data-driven decision-making, GES is investing in modern analytics platforms and cloud technologies to better serve internal and external stakeholders.

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For Emirati professionals, GES careers represent an opportunity to contribute to national capability building while working with globally relevant technologies. The company places importance on strong working relationships, compliance, health and safety standards, and values-driven performance—ensuring that innovation is matched with responsibility.


Available Jobs (Related Data & Analytics Roles)

If you’re exploring Emirati National Data Engineer Jobs at GES, you may also want to keep an eye on related roles that often align with similar skills and career paths:

  1. Business Intelligence Engineer – UAE Nationals

  2. Analytics Engineer – Azure & Power BI

  3. Data Scientist (Applied Analytics / Gen AI)

  4. Cloud Data Platform Engineer – Azure

  5. Reporting & Insights Specialist – UAE Nationals

These roles often work closely together, offering future mobility within data, analytics, and AI-focused teams.

(See more jobs in Dubai)


Job Description

This Data Engineer role at GES focuses on designing and maintaining efficient, scalable, and secure data solutions that support analytics and reporting across the organization. You’ll work across the full data lifecycle—from ingestion and transformation to modeling and visualization—ensuring data is accurate, accessible, and actionable.

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The role is ideal for Emirati professionals who:

  • Enjoy translating business needs into technical data architectures

  • Are comfortable working with cloud-based data platforms

  • Value data quality, governance, and compliance

  • Want exposure to real-time analytics and AI-enabled data ecosystems

  • Are motivated by continuous improvement and long-term impact

You’ll collaborate closely with business users, analysts, and technical teams to deliver solutions that genuinely improve decision-making.


Job Responsibilities

As part of these Emirati National Data Engineer Jobs at GES, your responsibilities will include:

  • Designing, developing, and maintaining scalable data pipelines and integration workflows.

  • Implementing and managing ETL/ELT processes to ensure data accuracy, quality, and timeliness.

  • Building and supporting data models and dashboards in Power BI to deliver actionable business insights.

  • Utilizing Azure Fabric services for data storage, transformation, orchestration, and analytics.

  • Developing data processing solutions using SQL, Spark, and/or Python.

  • Implementing data streaming processes to support near real-time analytics and reporting.

  • Collaborating with business and technical stakeholders to gather requirements and deliver high-quality solutions.

  • Applying knowledge of Gen AI, LLMs, CoPilot, or Agentic AI (desirable) to support advanced analytics use cases.

  • Ensuring adherence to data governance, privacy, and compliance standards.

  • Preparing technical documentation and analytical reports using Microsoft Office tools.

  • Actively contributing to continuous improvement, sharing ideas and optimizations with line management.

  • Supporting company sustainability initiatives, including reuse, recycle, and replenish practices.

  • Ensuring compliance with health & safety, corporate, client, and legislative standards.


Why This Role?

Among Emirati National Data Engineer Jobs, this opportunity at GES stands out for its balance of modern technology, permanent stability, and national impact.

What makes this role especially attractive

  • Permanent position with competitive salary aligned to experience and skills

  • Hands-on work with modern data technologies, including Azure Fabric and Power BI

  • Exposure to AI and Gen AI concepts, preparing you for future data leadership roles

  • High-impact analytics work that supports business intelligence and strategic decisions

  • Collaborative culture with strong emphasis on relationships and integration

  • Alignment with sustainability and governance, reflecting responsible innovation

  • Clear focus on Emirati talent development, supporting long-term career growth in the UAE

If you’re looking to build a future-ready data engineering career while contributing to the UAE’s knowledge economy, this role offers both challenge and opportunity.

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Requirements

To succeed in this Emirati National Data Engineer Jobs at GES role, candidates should meet the following:

Core Skills & Experience

  • Experience designing and maintaining data pipelines and integration workflows

  • Strong understanding of ETL/ELT processes

  • Hands-on experience with Power BI (models, dashboards, visualizations)

  • Working knowledge of Azure data services, preferably Azure Fabric

  • Proficiency in SQL, with exposure to Spark and/or Python

  • Understanding of real-time data streaming concepts

  • Knowledge of data governance, privacy, and compliance principles

Desirable

  • Exposure to Gen AI, LLMs, CoPilot, or Agentic AI

  • Strong documentation and reporting skills using Microsoft Office

Eligibility & Work Conditions

  • Emirati National (this role is designated for UAE Nationals)

  • Willingness to work flexible hours and travel overseas during busy periods if required


How to Apply

To apply for this Emirati National Data Engineer Jobs at GES opportunity:

Click Here to Apply!


FAQs (Frequently Asked Questions)

1) Who can apply for this Data Engineer role at GES?

This vacancy is specifically designated for Emirati Nationals (UAE Nationals).

2) Is this a permanent position?

Yes, the role is listed as permanent.

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3) What technologies are most important for this role?

Key technologies include Azure Fabric, Power BI, SQL, Spark, Python, and ETL/ELT processes. Knowledge of Gen AI or LLMs is desirable.

4) Does the role include real-time analytics?

Yes, implementing data streaming processes to support real-time analytics is part of the role.

5) Is the salary fixed?

The role offers a competitive salary, dependent on experience and skill level, aligned with GES’s reward strategy.

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