Data Engineer

• Define and evolve the architecture of high-load data platforms and services
• Architect and build robust ETL/ELT pipelines and real-time data processing services using Golang
• Design and own data flows and storage strategies for multiregional environments
• Lead the development of event-driven systems, focusing on low latency and high throughput
• Integrate and optimize AI Agents into the engineering workflow
• Ensure data consistency, reliability, and observability across the entire stack
• Review code and provide technical mentorship to engineers (Golang/TypeScript)

Data Architect

• **WHAT YOU WILL DO | **
• - Design and implement scalable, secure, and high-performing data architectures across cloud and hybrid environments
• - Define enterprise data models, standards, and governance frameworks to ensure consistency and interoperability
• - Architect modern data platforms (data lakes, warehouses, lakehouses) to support analytics, AI, and operational use cases
• - Lead client engagements as a trusted advisor on data strategy, architecture, and platform design
• - Translate business and policy objectives into structured data solutions and pipelines
• - Establish data governance practices including data quality, lineage, cataloguing, and access control
• - Design data integration strategies across multiple systems, APIs, and external data sources
• - Enable AI and advanced analytics use cases by ensuring data is structured, accessible, and production-ready
• - Collaborate with engineering teams to implement pipelines, orchestration, and real-time/streaming architectures
• - Balance long-term architecture vision with rapid delivery in dynamic environments

• Develop, optimize, and maintain reliable data pipelines and processing components using Google Cloud Platform (GCS, BigQuery, Looker)
• Integrate and manage data from various sources, including marketing platforms and ad networks
• Design and maintain scalable data models and datasets that support analytics and business decision-making
• Translate business requirements into efficient, scalable data solutions
• Improve data accessibility, reliability, and performance across the data ecosystem
• Build tools and frameworks that enable faster, more effective analysis and self-service reporting
• Ensure data quality, consistency, and governance throughout the data lifecycle
• Optimize data infrastructure and processing costs while maintaining scalability and performance

Data Engineer jobs in United Arab Emirates

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Data Architect

Data Architect

Data Engineer