Lead Cloud Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 4 weeks ago
10-12 years
Dubai, United Arab Emirates
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 20 Nov 2026

Posted: 4 weeks ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Your new company

You will be joining a world-leading global technology services, consulting, and business solutions organization. Operating at the forefront of digital transformation across the Middle East, this prestigious firm works alongside industry giants to solve complex enterprise challenges. With an established footprint in Dubai, they offer a collaborative, innovative, and high-performance culture where technical excellence is recognized and rewarded.

Your new role

As the Lead Cloud Data Engineer, you will serve as a key technical expert driving enterprise-scale data engineering and transformation workloads on the cloud. Based in Dubai, you will architect, build, and deploy high-throughput data warehouse solutions while implementing cloud-native monitoring and self-healing automation.

Key responsibilities include:

  • Developing and deploying robust PySpark workloads across Spark distributed computing environments.
  • Designing end-to-end data pipelines and enterprise data warehouse solutions leveraging Azure Databricks.
  • Implementing cloud-native platform monitoring and automated self-healing mechanisms to ensure high availability and proactive issue resolution.
  • Collaborating with key stakeholders to align data architecture with broader business and digital transformation strategies.

What you'll need to succeed

To excel in this position, you will bring a minimum of 10 years of overall IT experience, backed by a strong specialization in cloud data platforms.

  • Core Experience: 5–7 years dedicated to data engineering and cloud data transformation.
  • Technical Mastery: 3+ years of deep expertise in Azure Data Engineering and Databricks.
  • Data Processing: Advanced proficiency in PySpark, specifically building and deploying production workloads on Spark distributed computing.
  • Domain Knowledge: Proven track record of developing and supporting enterprise-level data warehouse workloads.
  • Infrastructure & Reliability: Solid experience in Microsoft Azure deployment, cloud-native platform/application monitoring, and implementing self-healing automated measures.
  • Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or an equivalent technical discipline.

What you'll get in return

  • Compensation: A competitive tax-free monthly salary depending on experience.
  • Impact: Direct ownership of large-scale enterprise data transformation projects in the region.
  • Growth: Continuous career development within a global technology powerhouse known for nurturing top-tier engineering talent.
  • Location: Based in the vibrant tech and financial hub of Dubai, UAE.

What you need to do now

If you are interested in this opportunity, click apply now to submit an up-to-date copy of your CV. If this job isn't quite right for you but you are looking for a new position in cloud, data, or digital transformation, please contact us for a confidential discussion on your career.

Skills

Business SolutionsData ArchitectureData ProcessingData EngineerDatabricks

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About Company

Hays is a global leader in recruiting experts in qualified, professional and skilled people. We're experts in connecting professionals with opportunities. We offer recruitment services across a vast range of sectors, helping both businesses and individuals achieve success. We connect people and jobs, but we do more than just fill positions. We build lasting careers, and we help businesses build winning teams.

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