Head of Data Engineering
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Key skills for this role
About the Role
A partner company is looking for a Head of Data Engineering based in the UAE to lead the evolution of a global-scale data ecosystem.
Key Skills for This Role
Responsibilities
- Design, develop, and continuously improve a scalable data architecture capable of supporting rapid global expansion
- Define engineering standards for data pipelines, including CI/CD practices, automation, version control, and operational excellence
- Ensure data reliability, security, governance, and performance across platforms supporting analytics and machine learning initiatives
- Lead strategic technology decisions, including the selection and adoption of cloud platforms, tools, and data engineering solutions
- Build and mentor high performing data engineering teams, fostering technical ownership, collaboration, and continuous improvement
- Guide the development of efficient ETL/ELT solutions and modern data workflows
- Partner with business, product, analytics, and technical stakeholders to translate complex requirements into scalable solutions
- Establish processes that improve data quality, accessibility, and the overall effectiveness of the data organization
Requirements
- Proven experience leading data engineering functions within a high growth, scale up, or technology driven environment
- 3+ years of experience managing and developing engineering teams, with a strong ability to mentor and inspire technical talent
- 5+ years of hands on experience with programming languages such as Python, Java, or Scala for building complex data systems
- Deep knowledge of data architecture, data warehousing, big data technologies, and cloud infrastructure
- Strong experience working with relational and NoSQL databases at scale
- Expertise with the Google Cloud Platform (GCP) ecosystem and modern cloud based data solutions
- Demonstrated ability to design secure, reliable, and high performance data pipelines
- Strong technical leadership skills with the ability to drive engineering excellence and ownership
- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams
- Advanced degree in Computer Science, Engineering, or a related field is a plus
Full Job Posting
Role Overview
- This role offers the opportunity to lead the evolution of a global scale data ecosystem within a fast growing technology environment.
- You will define the architecture, engineering standards, and strategic direction that power business intelligence and data driven decisions.
- As a technical leader, you will build scalable platforms, strengthen data reliability, and enable advanced analytics and machine learning capabilities.
Accountabilities
- Design, develop, and continuously improve a scalable data architecture capable of supporting rapid global expansion.
- Define engineering standards for data pipelines, including CI/CD practices, automation, version control, and operational excellence.
- Ensure data reliability, security, governance, and performance across platforms supporting analytics and machine learning initiatives.
- Lead strategic technology decisions, including the selection and adoption of cloud platforms, tools, and data engineering solutions.
- Build and mentor high performing data engineering teams, fostering technical ownership, collaboration, and continuous improvement.
- Guide the development of efficient ETL/ELT solutions and modern data workflows.
- Partner with business, product, analytics, and technical stakeholders to translate complex requirements into scalable solutions.
- Establish processes that improve data quality, accessibility, and the overall effectiveness of the data organization.
Requirements
- Proven experience leading data engineering functions within a high growth, scale up, or technology driven environment.
- 3+ years of experience managing and developing engineering teams, with a strong ability to mentor and inspire technical talent.
- 5+ years of hands on experience with programming languages such as Python, Java, or Scala for building complex data systems.
- Deep knowledge of data architecture, data warehousing, big data technologies, and cloud infrastructure.
- Strong experience working with relational and NoSQL databases at scale.
- Expertise with the Google Cloud Platform (GCP) ecosystem and modern cloud based data solutions.
- Demonstrated ability to design secure, reliable, and high performance data pipelines.
- Strong technical leadership skills with the ability to drive engineering excellence and ownership.
- Excellent communication and collaboration skills, with the ability to work effectively across multiple teams.
- Advanced degree in Computer Science, Engineering, or a related field is a plus.
Benefits
- Remote first work environment with flexibility to work from anywhere in the world.
- Opportunity to shape the technical strategy and data infrastructure of a global technology organization.
- Work life balance culture designed to support sustainable performance and innovation.
- High impact leadership role with ownership over critical data systems and engineering practices.
- Opportunity to work with international teams and contribute to products used globally.
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