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هايز

VP Data Engineer

Hays

Abu Dhabi, United Arab Emirates دوام كامل

كن أول من يتقدم بطلب

خبرة
أي
مرتب
الوظائف الشاغرة
1
تم النشر
ستارة
وضع العمل
في المكتب
تعليم
Masters
الأهلية
Candidates with a Master’s degree or PhD in a related STEM discipline may apply.
سيرة ذاتية
مطلوب للتقديم

مكان عملك

المسمى الوظيفي

Role overview

This leadership position focuses on creating and scaling a high-performance enterprise data platform that supports investment decision-making, analytics, and AI initiatives. The role is based in Abu Dhabi and sits within a major investment organisation undergoing large-scale data transformation.

What you will do

  • Lead the architecture, buildout, and delivery of a modern enterprise data platform.
  • Develop cloud-first data solutions using Snowflake, Databricks, and Azure.
  • Create scalable data products that support investment workflows, reporting, analytics, and AI use cases.
  • Oversee the ingestion, integration, and governance of complex market, portfolio, and external third-party data.
  • Embed strong standards for data quality, governance, observability, and platform reliability/performance.
  • Work closely with Data Science, Analytics, and business stakeholders to deliver AI-ready data foundations.

Required background

  • A Master’s degree or PhD in Computer Science, Data Engineering, Information Systems, or another related STEM field is required.

Compensation and benefits

The organisation offers a highly competitive, tax-free package that includes an attractive monthly salary, an annual performance bonus, full international medical coverage, visa sponsorship, relocation assistance where relevant, and a schooling allowance.

Additional information

This is an opportunity to join one of the Middle East’s most respected and influential investment institutions and contribute to a major enterprise-wide transformation programme alongside strong teams across investment, technology, data, and AI.

Notes

No open vacancy count, start date, or application deadline was provided in the source.

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