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Data Technology Leadership

Unlock employer Dubai, United Arab Emirates Posted: 04 Jun 2026

Financial

  • Estimate: $120k - $180k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

The Data Technology Leadership role at the company is pivotal in enhancing and fortifying the MENAT (Middle East, North Africa, Afghanistan, and Turkey) data technology framework while establishing a Guangzhou-based engineering team to support the demands of MENAT. The successful candidate will drive engineering excellence, platform resilience, and secure delivery aligned with Group data standards and the Digital Acceleration Programme (DAP).

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Key Responsibilities:

  • Lead end-to-end delivery of software, from analysis through production and support.
  • Enforce engineering standards across MENAT markets, ensuring consistency in service delivery.
  • Maintain controls and compliance throughout the engineering lifecycle, focusing on auditability and operational resilience.
  • Promote innovation by maturing advanced data capabilities and adopting cutting-edge technologies (including GenAI, modern data/streaming, cloud-native patterns).
  • Develop and guide engineering teams, providing technical direction and making key technology decisions.
  • Collaborate across various teams to deliver comprehensive data processing, analytics, and visualization solutions.
  • Support the establishment and scaling of the engineering team in Guangzhou, ensuring effective collaboration.

Experience & Qualifications:

  • A graduation degree is required for obtaining a UAE visa and work permit.
  • Proven experience in leading multi-disciplinary teams within a regulated environment, preferably in financial services.
  • Strong leadership skills, including hiring, coaching, and performance management.
  • Excellent stakeholder management and communication skills, capable of simplifying complex engineering topics for diverse audiences.
  • Experience in enhancing platform resilience and improving operational outcomes.
  • Technical proficiency in data platforms, data architecture, and modern data technologies (e.g., GCP, AWS).
  • Hands-on experience with programming/scripting in Python and/or Java, and familiarity with tools such as Hadoop, Spark, and container technologies.

Language Requirements: Not specified, but fluency in English is typically expected in a multinational banking environment.

Additional Information: The company promotes a flexible working environment, including remote work and varied hours. The organization is committed to valuing diversity and fostering professional development.

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