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Senior Data Engineer

Unlock employer Dubai, United Arab Emirates Posted: 25 Nov 2025

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The company is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while enhancing the region’s growing tech ecosystem. Established in 2007, the company connects millions of property seekers with a wide range of real estate professionals, enabling a seamless and enriching experience for buyers and renters.

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We are seeking a Senior Data Engineer to design, build, and scale our core data infrastructure, powering analytics, AI/ML, and Generative AI solutions across the organization. The ideal candidate will own end-to-end data pipeline development, drive architectural decisions, and ensure that our data ecosystem is reliable, scalable, cost-efficient, and optimized for advanced AI use cases.

Key Responsibilities:

  • Core Engineering:

    • Architect, build, and optimize end-to-end data pipelines (batch + streaming) focusing on performance, scalability, and cost efficiency.
    • Design and maintain high-quality data models for diverse analytical, ML, and GenAI workloads.
    • Optimize SQL, Python, Spark/PySpark, and transformation workflows for performance at scale.
  • Architecture & Strategy:

    • Lead architecture discussions and influence technical direction, proposing scalable, future-proof solutions.
  • GenAI & Advanced Use Cases:

    • Integrate Generative AI capabilities into data workflows; build and maintain data foundations for AI/ML platforms.
  • Collaboration & Leadership:

    • Work closely with cross-functional teams to deliver impactful data solutions, uphold data quality standards, mentor engineers, and manage stakeholder communication.

Required Qualifications:

  • 7+ years as a Data Engineer with experience in large-scale, production-grade data systems.
  • Proficiency in SQL, Python, Spark/PySpark, and modern data warehousing techniques.
  • Strong AWS experience, including serverless and scalable architectures.
  • Proven track record in designing performant, cost-efficient data pipelines (batch + streaming).
  • Deep understanding of dimensional modeling and industry best practices.

Preferred Experience:

  • Experience in Real Estate or familiarity with ETL tools like Fivetran and dbt.
  • Knowledge of real-time analytics solutions and BI tools.
  • Familiarity with Terraform and Terragrunt is a plus.

Languages Required: Proficiency in English (additional languages are a plus)

At the company, we promote a culture where talent thrives. We empower our team members to create, grow, and make a meaningful impact. Join us to be part of a unified effort to change living for good in the region.

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