Job title: Head of Data Engineering
Job type: Permanent
Emp type: Full-time
Industry: IT & Telecommunications
Salary type: Monthly
Salary from: 100,000.00 AED
Salary to: 150,000.00 AED
Location: Abu Dhabi Region, Abu Dhabi, UAE
Job published: 20/08/2025
Job ID: 142041

Job Description

Position: Head of Data Engineering 

Location: Dubai/Abu Dhabi  (Relocation support available)

Employment Type: Full-Time | Senior Leadership

We are conducting a confidential executive search for a Head of Data Engineering to join one of the world’s fastest-growing digital asset trading platforms, serving millions of users globally with multi-billion daily trading volumes. This is a rare opportunity to lead a world-class data organization, driving scalability, reliability, and innovation in a high-performance environment.

Key Responsibilities:

  • Lead and scale the Data Engineering function, overseeing global teams responsible for data pipelines, storage, and real-time processing at massive scale.
  • Design and implement a robust, future-proof data architecture to support analytics, AI/ML initiatives, risk management, and next-generation trading products.
  • Collaborate with Product, Engineering, Quant, and Business teams to ensure data availability, integrity, and accessibility across all platforms.
  • Build and optimize large-scale distributed data systems, ensuring ultra-low latency and high fault tolerance.
  • Drive data strategy and best practices, focusing on governance, lineage, and security across all datasets.
  • Manage global stakeholders, providing thought leadership in data engineering, tooling, and emerging technologies.
  • Hire, mentor, and inspire top-tier data engineering talent to support exponential growth.

Key Requirements:

  • Proven track record leading large-scale Data Engineering organizations (100+ professionals), ideally in fintech, trading, or high-frequency transaction environments.
  • Expertise in big data technologies (Spark, Flink, Kafka, Hadoop, Airflow, etc.) and modern data platforms (Snowflake, Databricks, Delta Lake).
  • Strong knowledge of data streaming, real-time processing, ETL pipelines, and large-scale distributed systems.
  • Deep understanding of cloud infrastructures (AWS, GCP, Azure) and data security practices in highly regulated environments.
  • Exceptional leadership skills with experience building global data teams in high-growth, fast-paced organizations.
  • Ability to solve complex technical challenges while aligning data strategy with long-term business goals.
  • Experience in digital assets, trading platforms, or financial services preferred but not mandatory.