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Head of Data Engineering

Khazna

Khazna

Data Science
Cairo, Cairo Governorate, Egypt · Cairo, NY, USA
Posted on Feb 18, 2026

Job Description

Head of Data Engineering

Location: Cairo and/or Riyadh

Reports to: Co-founder & CTO

Regulatory Context: SAMA-regulated entity (KSA), CBE/FRA-regulated entity (Egypt)

Company Stage: Series-B fintech / digital bank

Role Purpose

The Head of Data Engineering is responsible for building and operating the company’s secure, scalable, regulator-grade data platform, which serves as the foundation for:

  • Credit decisioning and risk analytics
  • Financial and regulatory reporting
  • Customer analytics and personalization
  • Fraud detection and financial crime monitoring
  • Executive reporting and board oversight

This role ensures that data is accurate, governed, secure, and available in near-real time, while meeting SAMA and CBE regulatory requirements and enabling the organization to scale into a public-company-grade digital bank.

The Head of Data Engineering plays a mission-critical role in transforming data into a strategic asset and competitive advantage.

Strategic Mandate

First 12 Months

Build core data foundations:

  • Design and implement enterprise data platform
  • Establish regulator-grade data governance
  • Support credit, finance, and regulatory reporting
  • Integrate data across Egypt and Saudi operations

24–36 Months

Scale platform to support hyper-growth:

  • Real-time analytics and decisioning
  • Advanced ML / AI use cases
  • Enterprise-wide data democratization
  • IPO-level reporting readiness

Long Term

Establish best-in-class digital bank data platform:

  • Fully governed, scalable, auditable data infrastructure
  • Support millions of customers
  • Enable AI-driven banking

Core Responsibilities

A. Data Platform Architecture & Engineering

Design and operate the fintech’s end-to-end data platform:

  • Enterprise Data Warehouse / Lakehouse
  • Streaming and batch pipelines
  • Real-time event processing
  • Data integration across all systems

Includes data from:

  • Core systems
  • Payments
  • Mobile apps
  • CRM
  • Risk and credit engines
  • Finance and GL
  • Fraud systems
  • External data providers (credit bureaus, payroll, open banking)

Key deliverable:

Single source of truth for the organization

B. Regulatory & Financial Data Infrastructure

Ensure platform supports:

Regulatory reporting:

Saudi Arabia:

  • SAMA reporting
  • Prudential returns
  • Liquidity reporting
  • Credit reporting

Egypt:

  • CBE reporting
  • FRA reporting

Financial reporting:

  • IFRS reporting
  • Provisioning data (IFRS 9)
  • Board reporting
  • Investor reporting
  • IPO readiness

Critical requirement:

Full auditability and traceability

C. Credit, Risk, and Fraud Data Infrastructure

Build infrastructure powering:

  • Credit decision engines
  • Risk analytics
  • Collections optimization
  • Fraud detection
  • AML monitoring

Key objective:

Real-time credit decisioning capability

D. Data Governance, Quality, and Controls

Establish regulator-grade data governance framework including:

  • Data lineage
  • Data ownership model
  • Data quality monitoring
  • Data reconciliation
  • Master data management

Ensure compliance with:

  • SAMA data governance framework
  • CBE data governance requirements
  • Internal audit expectations

E. Data Security, Privacy, and Compliance

Ensure compliance with:

Saudi Arabia:

  • SAMA Cybersecurity Framework
  • Personal Data Protection Law (PDPL)

Egypt:

  • Data protection laws
  • CBE requirements

Responsibilities include:

  • Data access control
  • Encryption
  • Data masking
  • Audit trails

F. Real-Time and Event-Driven Data Infrastructure

Build platform enabling:

  • Real-time credit decisioning
  • Instant fraud detection
  • Customer personalization
  • Real-time dashboards

G. Data Infrastructure for AI and Machine Learning

Build platform supporting:

  • Feature stores
  • Model training pipelines
  • Model deployment pipelines

Enable teams including:

  • Risk
  • Fraud
  • Marketing
  • Customer experience

H. Team Leadership and Organization Building

Build and lead world-class data engineering team

Regulatory and Fintech Experience Requirements

Strong preference for candidates with experience in:

  • Digital banks
  • Consumer lending fintech
  • Payments companies
  • Traditional banks

Operating in regulated environments

Experience with:

  • SAMA or similar regulators preferred
  • CBE or emerging market regulators highly valuable

Experience supporting:

  • Financial reporting
  • Credit analytics
  • Regulatory reporting

5. Leadership and Capability Requirements

Critical leadership traits:

  • Strategic thinking
  • Strong execution capability
  • Hands-on technical depth
  • Ability to build scalable platforms
  • Strong governance mindset
  • Strong collaboration with business leaders