Data Engineering Lead - Azure Cloud and Big Data
Listed on 2026-06-23
-
IT/Tech
Data Engineering, Azure, Cloud Computing: Infrastructure & Operations
Position Overview
Data Engineering Lead
- Azure Cloud and Big Data
- Abu Dhabi
We are hiring a seasoned Data Engineering Lead for our Abu Dhabi location to spearhead the design, development, and maintenance of scalable data pipelines and cloud-based solutions. The role demands deep expertise in Azure Data Services, ETL/ELT design, and leadership across cross‑functional teams. This is a high‑impact opportunity to lead cloud‑driven data engineering and AI integration across enterprise systems.
Job Details- Job Location: Abu Dhabi, UAE
- Industry: Information Technology (IT)
- Function: Data Science / Analytics
- Salary: 20, monthly (Market estimated)
- Gender: Any
- Candidate Nationality: Any
- Current
Location:
Any - Job Type: Full Time
The Data Engineering Lead will be responsible for architecting and implementing end‑to‑end data processing solutions using Azure Data Factory, Databricks, and Snowflake. This role includes managing real‑time and batch workflows, cloud infrastructure, ML integration, and continuous deployment pipelines—all aligned to enterprise data strategy.
What You'll Do- Translate business requirements into scalable data engineering architectures
- Design and implement robust ETL/ELT workflows using Azure Data Factory, Databricks, and SQL
- Develop large‑scale data processing using Spark, Python, and cloud‑native tools
- Maintain and optimize cloud data environments including Snowflake and Azure Synapse
- Deploy ML models using Azure Machine Learning and integrate APIs into data workflows
- Build CI/CD pipelines with Azure Dev Ops, Git Hub, and automation tools
- Ensure data governance, integrity, and security across all platforms
- Mentor data engineers and lead cross‑team technical initiatives
- Collaborate with data scientists and business stakeholders to define solution strategies
- Bachelor's degree in Computer Science, Engineering, or related field
- Minimum 5 years of hands‑on experience in data engineering roles
- Strong command of Azure Data Factory, Azure Databricks, Synapse, and Data Lake
- Expert in Python, SQL, and distributed data processing frameworks like Spark
- Proven experience with Talend, Informatica, or similar ETL tools
- Skilled in CI/CD practices, Dev Ops, and cloud automation
- Exposure to machine learning workflows and model integration in cloud pipelines
- Hands‑on experience with Snowflake and cloud‑based data warehouses
- Strong interpersonal and leadership skills to drive technical teams
- Lead innovative cloud‑based data initiatives in a fast‑paced technology environment
- Work with advanced tools like Azure ML, Databricks, and Snowflake
- Be part of a digital transformation journey across financial and enterprise systems
- Competitive compensation and long‑term career growth opportunities in Abu Dhabi
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