Data Platform Lead — Build Scalable, Governed Pipelines

Innovo Group; United Arab Emirates; On-site; AED 350,000 - 550,000; Full time

Job summary

Innovo Group is seeking a senior data engineering leader to establish and drive the organization's data platform capability in the UAE. You will combine hands-on technical leadership with people management to shape the platform, engineering practices, data products, and service standards for reporting, analytics, automation, and AI.

You will own the data lifecycle, security, quality, and regulatory compliance while building scalable pipelines and reusable data assets that enable measurable

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8+ years in data engineering, platform delivery, or related field.
• Hands-on experience building data platforms on Azure and scalable pipelines.
• Experience establishing governance, security, and operational practices.

Responsibilities

• Define and deliver the data engineering and platform roadmap.
• Lead design, build, and operation of scalable data pipelines and services.
• Create reusable data products and data capabilities for analytics and AI.
• Establish engineering standards for release, monitoring, and support.
• Ensure data quality, lineage, security, and regulatory compliance.
• Own platform performance, reliability, and cost management.
• Lead and develop engineers, manage vendors, ensure knowledge transfer.

Skills

Data integration

Data modeling

Data quality

Data lineage

Monitoring

Security

Azure

Leadership

Vendor management

Education

Bachelor's degree in Computer Science/Software/Data Engineering

Tools

Azure

Job description

Innovo Group is seeking a senior data engineering leader to establish and drive the organization's data platform capability in the UAE. You will combine hands-on technical leadership with people management to shape the platform, engineering practices, data products, and service standards for reporting, analytics, automation, and AI.

You will own the data lifecycle, security, quality, and regulatory compliance while building scalable pipelines and reusable data assets that enable measurable