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124

It Admin jobs in United Arab Emirates

AWS Lakehouse Platform Engineer

Deeplight

Abu Dhabi
On-site
AED 120,000 - 200,000
30 days ago
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AWS Lakehouse Platform Engineer – Flexible

Deeplight

Abu Dhabi
On-site
AED 120,000 - 200,000
30 days ago

System Administrator

Careers International

Dubai
On-site
AED 120,000 - 200,000
30 days ago

Senior AIX Systems Administrator (PowerVM, GPFS, NIM)

Mindtel

Dubai
On-site
AED 120,000 - 200,000
30 days ago

AIX Administrator

Mindtel

Dubai
On-site
AED 120,000 - 200,000
30 days ago
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IT Support & Systems Specialist

Marriott Hotels Resorts

Abu Dhabi
On-site
AED 60,000 - 120,000
30 days ago

Senior Data Platform Architect & Team Lead

Envisions Employment Solutions

United Arab Emirates
On-site
AED 120,000 - 200,000
30+ days ago

IT Support & Systems Administrator

The Lemon Consulting

Ras Al Khaimah
On-site
AED 50,000 - 70,000
30+ days ago
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IT Technician: Hardware, CCTV & Access Systems Specialist

M I R A CONSTRUCTION L.L.C

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

Refrigeration Systems Technician | Cold-Chain Maintenance

Mezzan Foods

Sharjah
On-site
AED 40,000 - 60,000
30+ days ago

Mobile App Lead: Native & Cross-Platform Architect

EFS Facilities Services Group

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

Collection MIS & Systems Manager

ADIB Group

Abu Dhabi
On-site
AED 120,000 - 200,000
30+ days ago

Senior Platform Architect

ServiceNow

Dubai
On-site
AED 300,000 - 400,000
30+ days ago

Senior Platform Architect: Digital Transformation & Governance

ServiceNow

Dubai
On-site
AED 300,000 - 400,000
30+ days ago

Senior IoT Platform Engineer: Real-Time, M2M & Edge

Flatgigs

United Arab Emirates
On-site
AED 150,000 - 200,000
30+ days ago

Automation Lead (Power Platform Architect)- 6 months extendable contract

Virtua Advanced Solution

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

Senior SharePoint & Power Platform Architect

Experts Plus Recruitment Services

United Arab Emirates
On-site
AED 120,000 - 200,000
30+ days ago

Rescue Hoist Systems Technician – Relocation to Abu Dhabi

Rishworth Aviation

United Arab Emirates
On-site
AED 60,000 - 120,000
30+ days ago

Hospitality IT Specialist: Systems, Networks & Guest Tech

The First Group Hospitality

Dubai
On-site
AED 120,000 - 200,000
30+ days ago

Senior Databricks Platform Architect & Engineer

Luxoft

Abu Dhabi
On-site
AED 120,000 - 200,000
30+ days ago

Braille Transcription & Accessibility Systems Specialist

Ajman University

United Arab Emirates
On-site
AED 80,000 - 100,000
30+ days ago

Senior Dynamics 365 ERP & Power Platform Architect

Atribs Metscon Group

Abu Dhabi
On-site
AED 257,000 - 368,000
30+ days ago

Senior Security Systems Technician (CCTV & Access Control)

Johnson Controls

Abu Dhabi
On-site
AED 120,000 - 200,000
30+ days ago

Senior ELV Design Engineer - Integrated Systems Specialist

Northeast

Abu Dhabi
On-site
AED 200,000 - 300,000
30+ days ago

Chief Engineer — AI, Blockchain & Trading Platform

AP Group Ltd

Dubai
On-site
AED 200,000 - 300,000
30+ days ago

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AWS Lakehouse Platform Engineer
Deeplight
Abu Dhabi
On-site
AED 120,000 - 200,000
Full time
30 days ago

Job summary

An AI consultancy specializing in data solutions is seeking a Lakehouse Platform Engineer to lead the architecture of their enterprise data systems. In this pivotal role, you'll manage components within the Lakehouse architecture, ensuring scalability and performance for AI and analytics. The ideal candidate will have over 8 years of experience, particularly in financial services, and showcase outstanding problem-solving and communication skills. Join a talented team and contribute to transformative AI solutions.

Benefits

Competitive salary
Performance bonuses
Comprehensive health insurance
Professional development support
Flexible working arrangements
Career advancement opportunities

Qualifications

  • 8+ years of experience in data platform engineering or related roles.
  • Strong experience managing Lakehouse platforms on AWS.
  • Proficiency with AWS services like S3, Glue, CloudTrail.

Responsibilities

  • Manage Lakehouse components and optimize their performance.
  • Design and implement disaster recovery scenarios.
  • Work closely with platform engineers to align on optimization.

Skills

Data platform engineering
Problem-solving
Collaboration
Communication

Tools

AWS
Apache Iceberg
OpenMetadata
Terraform
Soda Core
Job description

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

We are seeking a Lakehouse Platform Engineer to serve as the lead architect and custodian of our enterprise data backbone. In this pivotal consultancy role, you will be responsible for the health, scalability, and evolution of our entire technology stack, ensuring that our Lakehouse architecture is not only reliable but optimized for high-performance AI and analytics. You will own the lifecycle of AWS Glue jobs, manage the intricacies of Apache Iceberg table registries, and operationalize industry-leading tools like OpenMetadata for governance and Soda Core for data quality. From designing robust Disaster Recovery (DR) scenarios to automating infrastructure via Terraform, your work will provide the foundation upon which our Data Factory squads build the future of intelligent enterprise systems.

As a consultant within our specialist firm, your technical prowess is matched by your ability to drive adoption. You will act as a bridge between platform engineering and business‑critical operations, “selling” the value of self‑service tooling and automated lineage to senior stakeholders. We are looking for a master problem‑solver with 8+ years of experience—ideally within financial services or banking—who thrives in fast‑paced, Agile environments. If you are passionate about decommissioning legacy technical debt while building state‑of‑the‑art, automated data platforms that meet aggressive migration targets, you will find your home at DeepLight AI.

Responsibilities
  • Platform Management & Optimization
    • Manage and maintain Lakehouse components:
      • Storage: S3 bucket configurations, lifecycle policies, storage optimization.
      • Compute: AWS Glue job management, optimization, DPU allocation.
      • Catalog: AWS Glue Data Catalog and Iceberg table registry.
      • Semantic layer: Deploy and integrate with our semantic layer.
      • Governance: Deploy, configure, and upgrade OpenMetadata.
      • Quality: Maintain Soda Core infrastructure and integration.
    • Apply Iceberg best practices for table optimization and maintenance.
    • Implement automated table maintenance processes.
  • Self‑Service & Automation
    • Deploy self‑service tooling for Data Factory squads.
    • Implement automated lineage capture from Glue jobs.
    • Configure audit logging (CloudTrail, S3 access logs).
  • Disaster Recovery & Reliability
    • Design and implement Disaster Recovery (DR) scenarios, including failover, backup management, and runbooks.
    • Execute annual DR tests for the entire data landscape.
    • Ensure all critical platform components are monitored, with alerting and active follow‑up.
  • Migration & Decommissioning
    • Execute decommissioning roadmap.
  • Collaboration
    • Work closely with platform engineers and architects to ensure alignment on optimization and tooling.
    • Partner with operational teams for monitoring and alerting.

As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with DeepLight AI.

You will be the face of our firm, tasked with building trust, articulating the “why” behind your technical decisions, and effectively “selling” your vision to high‑level stakeholders.

We're looking for individuals who are not only world‑class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.

If you thrive on the challenge of presenting cutting‑edge solutions as much as you do on building them, you will fit right in.

Experience Requirements
  • Data platform engineering or related roles, ideally a minimum of 8 years experience.
  • Managing Lakehouse platforms on AWS.
  • AWS services: S3, Glue, CloudTrail, Athena.
  • Apache Iceberg, OpenMetadata, and Soda Core.
Additional Knowledge
  • Disaster recovery planning and execution.
  • Infrastructure automation using Terraform and Git.
  • Kafka (MSK) and OpenSearch.
  • Identifying ways to automate repetitive tasks.
  • Problem‑solving and troubleshooting skills.
  • Working cross‑functionally and managing complex platform operations.
  • Working in a fast‑paced environment and delivering aggressive migration targets.
  • Collaborating and communication skills.
  • Working with Jira and agile ways of working.
Benefits & Growth Opportunities
  • Competitive salary and performance bonuses.
  • Comprehensive health insurance.
  • Professional development and certification support.
  • Opportunity to work on cutting‑edge AI projects.
  • Flexible working arrangements.
  • Career advancement opportunities in a rapidly growing AI company.

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please let us know. This information will be kept strictly confidential and will not impact hiring decisions.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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