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
Data Engineer (ETL, MDM & AI Pipelines)
Build and maintain governed data pipelines (ETL/ELT, OCR, embeddings) that feed AI models and KPI dashboards from enterprise systems.
Data Platform Engineer: ETL, MDM & AI Pipelines
Build and maintain governed data pipelines (ETL/ELT, OCR, embeddings) that feed AI systems and KPI dashboards from enterprise sources like ERP and HR.
Azure Data Platform Engineer – Big Data & Pipelines
Build and maintain Azure-based data pipelines and big-data workflows using Data Factory, while contributing to front-end components in a Scrum team.
Data Engineer
Designs and maintains scalable data pipelines and ETL processes to collect, process, and store logistics data for analytics and reporting.
Data Engineer
Build and optimize cloud-based data pipelines using Microsoft Fabric, Spark, and PySpark to transform raw data into analytics-ready datasets for reporting and BI.
Data Engineer - Cloud Pipelines
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Senior Data Engineer - Build Scalable ML Data Pipelines
Design and maintain scalable data pipelines for AI and analytics in a fintech firm, collaborating with data scientists to support financial infrastructure.
Data Engineer
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Data Engineer
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
Data Engineer: Pipelines, APIs & Platform Automation
Builds and maintains data pipelines and APIs for an energy-focused data platform using Python and SQL.
Actuarial Data Engineer: Pipelines, Dashboards & Insights
Designs and maintains data pipelines and systems to feed actuarial models with clean, structured data and supports reporting via dashboards.
Senior Data Engineer — Data Lakes & Streaming Pipelines
Builds and maintains centralized data lakes and streaming pipelines using GCP, leveraging PySpark for ETL and data validation to ensure quality and drive insights for a UAE-based tech super app.
Senior Data Engineer
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
Senior AI Data Engineer - Finance Data & ML Pipelines
Builds and maintains data pipelines for LLM-powered financial applications using SQL, Python, Airflow, and cloud tools.
Senior PySpark Data Engineer for Banking Pipelines
Design and optimize large-scale PySpark data pipelines for banking applications, ensuring high-quality financial data solutions.
AI Data Engineer
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.
Cloudera Data Engineer
Builds and maintains big data pipelines using Cloudera CDP, Spark, Hive, and Hadoop to support analytics and production systems.
DATA ENGINEER – (DX)
Build and maintain data pipelines and warehouses to support a company-wide digital transformation initiative in the energy sector.
Senior Data Engineer
Design and build scalable data pipelines and cloud-native platforms using Python, SQL, Azure Synapse, and Microsoft Fabric for enterprise clients.
Senior Data Engineer
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.