Data Engineering Jobs in United Arab Emirates
There are 398 open Data Engineering jobs in United Arab Emirates on freehire right now. 146 of them were posted recently. The skills employers ask for most often are data-pipelines, sql and analytics.
Most requested skills
- data-pipelines 59%
- sql 57%
- analytics 52%
- python 51%
- data-engineering 49%
- cloud 48%
- data-quality 39%
- ai 38%
How the work is done
- Remote 14 · 4%
- Hybrid 12 · 3%
- Onsite 5 · 1%
Visa sponsorship offered in 94% of the 17 postings that state a position on it.
Seniority
- Senior 145
- Lead 38
- C-level 8
- Junior 8
- Staff 3
- Middle 2
Who is hiring
- 501-1000 employees 10
- 1000+ employees 8
- 11-50 employees 5
- 51-200 employees 5
- 201-500 employees 2
Azure Data Engineer — Build Scalable ETL Pipelines
Designs and optimizes cloud-based ETL/ELT pipelines using Azure Data Services, builds scalable data warehouses, and improves data quality for analytics teams.
Senior Data Engineer - UAE
Senior Data Engineer builds scalable industrial data pipelines using Python, SQL, and Cognite Data Fusion® to power AI-driven insights for energy and manufacturing clients.
Manager Data Engineering - Majid Al Futtaim Retail Digital Corporate Head Office - Dubai, UAE
Leads data engineering for a large retail group, building scalable data warehouses, ETL pipelines, and Power BI dashboards to turn raw data into actionable business insights.
Azure Data Engineer: Build Scalable Data Pipelines
Builds and maintains scalable Azure data pipelines, transforming raw data into actionable insights while collaborating with product teams.
Junior Data Engineer: Build Data Pipelines & Infra
Build and maintain data pipelines and infrastructure using Python, SQL, APIs, and PostgreSQL in a collaborative team.
Senior Data Engineer - Lead Industrial Data Pipelines
Design and build scalable industrial data pipelines using Python, SQL, and distributed systems to integrate and process large-scale operational data for critical industries.
Junior Data Engineer: Scale Data Pipelines with Databricks
Build and scale data pipelines using Databricks, AWS, and SQL to deliver reliable data models and insights for analytics teams.
Senior Data Analyst / Data Engineer
Design and maintain ETL/ELT pipelines, cloud data warehouses, and BI dashboards using SQL, Python, and tools like Snowflake and Tableau.
Data Governance & Security Engineer
Design and enforce data classification and security policies, using tools like Microsoft Purview to label sensitive data and prepare audit reports for clients.
Healthcare Data Engineer: Real-Time Analytics & Cloud
Builds scalable healthcare data pipelines and real-time analytics infrastructure using Snowflake, AWS, and dbt to support claims and EHR data integration.
Senior Data Engineer – Epic Clarity & Fabric
Designs and builds scalable healthcare data platforms using Epic Clarity and Microsoft Fabric, focusing on lakehouses, data models, and automated pipelines.
Data Engineer
Builds and scales cloud-based data pipelines and analytics for healthcare, using Snowflake, AWS, dbt, and Sigma to support claims, EHR, and real-time patient metrics.
Associate, Data Engineer
Build and maintain Snowflake data pipelines, dbt models, and file ingestion for a healthcare PBM platform, ensuring data quality and security compliance.
Senior Data Engineer
Builds and maintains data pipelines using PySpark, Python, and Cloudera CDP to process and store large-scale datasets for analytics and reporting.
Big Data Engineer
Designs and builds scalable big data pipelines using Spark, Hadoop, and Kafka to process large datasets for analytics and insights.
Senior Data Engineer — Real-Time Market Data (Remote)
Build scalable real-time data pipelines and streaming architectures to power trading, risk, and asset management systems using time-series and lakehouse designs.
Data Engineer: Cloud Data Warehousing & ML
Designs, builds, and maintains cloud data warehouses (Redshift, BigQuery, Snowflake) and ML pipelines using SQL, Python, and AWS/GCP.
Senior Data Engineer at Better Solutions FZ LLC
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.