VP Data Engineer
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Key skills for this role
About the Role
Hays is seeking a VP Data Engineering to lead the design and delivery of a next-generation enterprise data platform for a prestigious investment organization in Abu Dhabi.
Key Skills for This Role
Responsibilities
- Drive the design and delivery of a next generation enterprise data platform
- Build cloud native data solutions leveraging Snowflake, Databricks, and Azure
- Develop scalable data products that power investment, analytics, reporting, and AI use cases
- Lead the integration and management of complex market, portfolio, and third party datasets
- Champion best practices across data quality, governance, observability, and platform performance
- Partner with Data Science, Analytics, and business teams to enable AI ready data capabilities
Requirements
- Masters or PhD in Computer Science, Data Engineering, Information Systems, or a related STEM discipline
- Experience in building and scaling enterprise data platforms
- Expertise in cloud native data solutions using Snowflake, Databricks, and Azure
- Experience developing scalable data products for investment, analytics, reporting, and AI use cases
- Experience leading integration and management of complex market, portfolio, and third party datasets
- Knowledge of data quality, governance, observability, and platform performance best practices
- Ability to partner with Data Science, Analytics, and business teams
Full Job Posting
Role Overview
- VP Data Engineering role to build and scale a world class enterprise data platform for a prestigious investment organization in Abu Dhabi.
What we need someone to do
- Drive the design and delivery of a next generation enterprise data platform
- Build cloud native data solutions leveraging Snowflake, Databricks, and Azure
- Develop scalable data products that power investment, analytics, reporting, and AI use cases
- Lead the integration and management of complex market, portfolio, and third party datasets
- Champion best practices across data quality, governance, observability, and platform performance
- Partner with Data Science, Analytics, and business teams to enable AI ready data capabilities
Qualifications
- Masters or PhD in Computer Science, Data Engineering, Information Systems, or a related STEM discipline
Why this opportunity stands out
- Join one of the Middle East's most respected and influential investment organisations
- Play a key role in a major enterprise wide data transformation programme
- Collaborate with exceptional talent across investment, technology, data, and AI functions
- Enjoy a highly competitive, tax free package including attractive monthly salary, annual performance bonus, full international medical coverage, visa sponsorship, relocation support (if applicable), and schooling allowance
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