Data Engineer

Unlock employer Dubai, United Arab Emirates Direct to Company 04 Dec 2025

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Financial

Estimate: $70k - $95k*
Zero income tax location

Accessibility

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Visa Provided

Requirements

Experience: Senior
English: Professional

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Position

The company Asset Management is modernizing its retail operations through advanced Data & AI capabilities. To support this, it is hiring a Data Engineer skilled in SQL, Python, Spark, and API integrations to build scalable data pipelines and enable data-driven decision-making across the business.

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Location
Dubai

Responsibilities

Design, build, and maintain scalable ETL pipelines using Python, SQL, and Apache Spark for large-scale data processing.
Integrate diverse data sources and third-party APIs to enable real-time and batch data ingestion.
Ensure data quality, governance, and reliability across all pipelines and systems.
Collaborate with cross-functional teams to translate business needs into technical data solutions.
Monitor, optimize, and troubleshoot data workflows to maintain high performance and availability.
Manage cloud-based data infrastructure (Azure/AWS/GCP), ensuring security, compliance, and efficient resource use.
Support a broad operational scope covering 29 malls, 7 hotels, and multiple digital platforms across 5 countries.
Contribute to continuous innovation by adopting emerging technologies and enabling high-impact use cases valued at over AED 1.3B in revenue uplift.

Requirements

Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Azure/Spark/Python/data-modeling certifications are an added advantage.
Experience: 5–8 years in data engineering or a closely related discipline.
Strong SQL expertise for advanced data manipulation, optimization, and performance tuning.
Proficient in Python for data engineering, automation, and scripting, with hands-on experience using Apache Spark/PySpark for large-scale distributed processing.
Skilled in API integrations (REST/SOAP), data ingestion from diverse sources, and familiar with Git, CI/CD, Agile, and data modeling/warehousing concepts.
Experienced with Azure Databricks for building, optimizing, and managing scalable cloud-based data pipelines and analytics workflows.

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