Big Data Engineering Lead

Remotedxb; Dubai; On-site; AED 350,000 - 650,000; Full time

Job summary

Remotedxb in Dubai is seeking a senior Data Platform Lead to guide the data foundation, shape data pipelines, and ensure scalable and reliable data services. You will mentor a growing team while partnering with architecture and platform teams to deliver enterprise-grade data solutions.

The role emphasizes strong SQL/PySpark skills, data modeling, and experience with ETL/ELT and MDMS. Expect collaboration across multiple data domains and a focus on data quality and lineage.

Qualifications

• 8+ years in data/software engineering or enterprise data platforms.
• 3+ years leading engineering teams or large data initiatives.
• Advanced SQL and data modeling expertise.
• Strong Python and PySpark development experience.
• Experience with ETL/ELT architectures and Master Data Management.

Responsibilities

• Lead engineering delivery and quality of the Data Foundation platform.
• Build and maintain enterprise data pipelines, data products, canonical data models, and data services.
• Partner with Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable data solutions.
• Accountable for engineering execution, solution quality, and operational reliability.
• Develop a high-performing data engineering team.

Skills

Advanced SQL

Data modeling

Python / PySpark

ETL/ELT patterns

Master Data Management

RESTful APIs

Event-driven processing

Data quality

Tools

GraphQL

Microservices

Job description

Responsibilities

• Lead the technical leadership, engineering delivery, and quality of the Data Foundation platform
• Build and maintain enterprise data pipelines, data products, canonical data models, and data services
• Partner with Service Owner, Architecture Team, and Platform Engineering Lead to deliver scalable, trusted, and maintainable data solutions
• Accountable for engineering execution, solution quality, and operational reliability
• Develop a high-performing data engineering team

Requirements

• 8+ years of experience in data engineering, software engineering, or enterprise data platform development
• 3+ years of technical leadership experience leading engineering teams or large-scale data initiatives
• Advanced SQL and data modeling expertise
• Strong Python and PySpark development experience
• Deep understanding of ETL and ELT architecture patterns
• Experience implementing Master Data Management solutions
• Experience building RESTful APIs and data services
• Familiarity with GraphQL and modern integration approaches
• Understanding of microservices-based architectures
• Experience implementing event-driven and real-time data processing solutions
• Strong understanding of data quality frameworks, metadata management, and data lineage concepts