A global leader in the Technology, Information and Internet industry is seeking an experienced Big Data Engineer for a full-time, fully remote position accessible from the UAE — offering a salary of $140,000 to $180,000 per year. This high-impact engineering role designs, builds, and maintains scalable data pipelines supporting real-time and batch processing systems at enterprise scale, applying Python, SQL, Apache Spark, Kafka, Airflow, and multi-cloud platforms including AWS, GCP, and Azure to power organisation-wide analytics, data warehousing, and data lake infrastructure.
About This Global Big Data Engineering Opportunity
Client Industry: Global leader in Technology, Information and Internet — contributing to the development of scalable data infrastructure powering enterprise-wide analytics
Compensation: $140,000–$180,000/year — a premium salary bracket for proven Big Data Engineers with multi-cloud and streaming platform expertise
Work Model: Fully remote, full-time — work from UAE or anywhere globally, with no geographic restriction on location
Equal Opportunity: Applications reviewed solely on demonstrated technical ability — all qualified candidates welcome regardless of background or prior employment history
Why This Big Data Engineer Role Stands Out in 2026
$140K–$180K Premium Salary: Among the highest compensation bands available to remote UAE-based Big Data Engineers — reflecting genuine enterprise-grade expertise requirements
Full Big Data Stack: Spark, Kafka, Airflow, Hadoop, BigQuery, Redshift, S3 — the complete modern data engineering platform, not a narrow single-tool role
Multi-Cloud Architecture: AWS, GCP, and Azure cloud data services — the breadth of cloud expertise that commands top-tier salaries in 2026
Real-Time & Batch Dual Scope: Both streaming pipelines with Kafka and batch processing with Airflow — covering the full spectrum of enterprise data pipeline design
Position Overview
This Big Data Engineer remote role in UAE designs and implements ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses and data lakes, develops and optimises data models supporting analytics and reporting needs, collaborates with data scientists and analysts to ensure data quality and availability for downstream applications, monitors pipeline performance and troubleshoots issues to maintain system reliability, and implements and enforces data governance, security, and compliance standards — applying Python, SQL, Apache Spark, Kafka, Airflow, Hadoop, and multi-cloud services across AWS, GCP, and Azure to build enterprise-grade scalable data infrastructure that powers real-time and batch analytics at global scale.
Why This Role Matters: As Big Data Engineer working remotely from the UAE for a global technology and internet leader, you design and maintain the pipelines that determine whether enterprise data reaches the right people, in the right form, at the right time — at a scale where a poorly designed Spark job costs hours of cluster time, a Kafka lag spike disrupts real-time dashboards, and a broken Airflow DAG silently stops loading the data warehouse that executives rely on for strategic decisions. At $140K–$180K remotely from anywhere, this is top-tier data engineering compensation for top-tier data engineering impact.
Key Responsibilities
ETL/ELT Pipeline Design & Implementation
- Design and implement robust ETL/ELT pipelines to ingest, transform, and load data from multiple heterogeneous sources into data warehouses and data lakes at enterprise scale
- Build and maintain scalable real-time data pipelines using Apache Kafka — ensuring low-latency data delivery for streaming analytics applications
- Develop and orchestrate batch processing workflows using Apache Airflow — managing complex DAG dependencies, scheduling, and failure handling at production scale
- Apply Apache Spark for large-scale distributed data processing — optimising Spark jobs for performance, cost, and reliability across multi-cloud environments
Data Modelling, Warehouse & Lake Architecture
- Develop and optimise data models to support analytics and reporting needs — applying dimensional modelling, data vault, or lake house architecture patterns as appropriate
- Design and maintain cloud data warehouse infrastructure across AWS Redshift, GCP BigQuery, or Azure Synapse — optimising query performance, partitioning, and cost management
- Build and maintain scalable data lake solutions using cloud object storage — AWS S3, GCP Cloud Storage, or Azure Data Lake — with efficient data organisation and access patterns
- Apply strong understanding of data warehousing concepts and dimensional modelling to ensure data models serve downstream analytics efficiently and reliably
Data Quality, Governance & Cross-Functional Collaboration
- Collaborate with data scientists and analysts to ensure data quality, accuracy, and availability for downstream machine learning, analytics, and reporting applications
- Implement and enforce data governance, metadata management, security, and compliance standards across all data pipeline and warehouse systems
- Monitor pipeline performance and production environment health — proactively troubleshooting issues to maintain system reliability and uptime SLAs
- Contribute to data quality frameworks — implementing automated data quality checks, alerting, and lineage tracking across the enterprise data platform
Required Skills & Qualifications
Essential Requirements
- Proficiency in Python and SQL — with production-grade data pipeline and data transformation coding experience
- Hands-on experience with data pipeline orchestration tools — Apache Airflow or equivalent workflow management systems
- Proven experience with cloud platforms — AWS, GCP, or Azure — and their data services including BigQuery, Redshift, and S3
- Strong understanding of data warehousing concepts and dimensional modelling principles
- Familiarity with big data technologies — Apache Spark, Hadoop — and streaming platforms including Apache Kafka
- Knowledge of data governance, metadata management, and data quality frameworks in enterprise data environments
- Ability to work independently in a fully remote environment — delivering production-quality data infrastructure with minimal supervision
Advantageous Experience
- Multi-cloud data engineering experience across more than one of AWS, GCP, and Azure platforms
- Experience with data lake house architectures — Delta Lake, Apache Iceberg, or Apache Hudi
- Familiarity with dbt (data build tool) for data transformation and modelling in cloud data warehouses
- Background in enterprise data platform development at global technology scale
About This Opportunity — Global Technology Leader, UAE Remote
Join a global leader in the Technology, Information, and Internet industry as Big Data Engineer on a full-time, fully remote basis — accessible from the UAE or anywhere in the world. At $140,000–$180,000 per year, this role offers premium compensation for experienced data engineers who can design, build, and maintain the scalable big data pipelines, real-time streaming infrastructure, cloud data warehouses, and data governance frameworks that power enterprise-wide analytics at global scale. Working with Python, SQL, Spark, Kafka, Airflow, Hadoop, and multi-cloud services across AWS, GCP, and Azure, you contribute to high-impact data infrastructure projects that determine how a global technology organisation stores, processes, and delivers data intelligence across its enterprise.
Career Excellence: Design enterprise big data pipelines at global scale — Spark, Kafka, Airflow, AWS, GCP, Azure — $140K–$180K fully remote from the UAE.
Who Should Apply?
- Senior Big Data Engineers: With production-grade Spark, Kafka, and Airflow experience — designing, building, and maintaining enterprise-scale data pipelines remotely from the UAE
- Multi-Cloud Data Platform Engineers: With hands-on AWS, GCP, and Azure data services experience — BigQuery, Redshift, S3, and Databricks — at scale
- ETL/ELT Pipeline Specialists: Who architect and implement complex data ingestion, transformation, and loading workflows from heterogeneous enterprise data sources
- Data Warehouse & Data Lake Architects: With dimensional modelling, cloud warehouse optimisation, and data lake design experience applied to enterprise analytics workloads
- Remote UAE-Based Data Engineers: Seeking a $140K–$180K full-time remote position — delivering enterprise-grade data infrastructure for a global technology and internet industry leader
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