Etihad Airways
Data Engineer
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 2 - 5 yrs
Job expiry date: 26/10/2025
Job overview
Date posted
11/09/2025
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
2 - 5 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
26/10/2025
Job description
The Data Engineer will be responsible for designing, building, and maintaining the organisation’s modern data infrastructure, including the development of scalable data pipelines and the management of large, complex datasets within Azure Databricks and the broader Azure data ecosystem. Working in collaboration with engineers, analysts, and data scientists, they will ensure data is reliable, accessible, and optimised for analytics, data science, and product decision-making, while contributing to the ongoing evolution of the organisation’s data platform.
Required skills
Azure Databricks
Spark
Delta Lake
Python
PySpark
SQL
Azure Data Lake Gen2
Azure Synapse
SQL Data Warehouse
Azure Data Factory
Apache Airflow
data pipelines
ETL ELT processes
data governance
data modeling
JSON
Parquet
Linux shell scripting
Git
cloud platforms AWS GCP
Key responsibilities
- Design, develop, and maintain scalable data pipelines on Azure Databricks.
- Build robust workflows for both batch and streaming data pipelines using Spark and Delta Lake.
- Ingest and process data from diverse sources into Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Collaborate with cross-functional teams to define data models, transformation logic, and business rules.
- Apply data warehouse design principles, including data modeling and partitioning strategies.
- Work with both structured and unstructured data formats.
- Apply data governance practices such as cataloging, lineage tracking, and compliance.
- Monitor, troubleshoot, and optimize pipeline performance, reliability, and data quality.
- Automate workflows using orchestration tools such as Azure Data Factory or Apache Airflow.
- Enforce data governance and security standards in alignment with organizational compliance requirements.
- Troubleshoot and resolve data-related issues and pipeline failures.
- Continuously drive process improvements for faster, more reliable data delivery.
Experience & skills
- 4+ years of experience as a Data Engineer, Data Platform Engineer, or in a similar role.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Hands-on experience with Azure Databricks, Spark, and Delta Lake to build and manage scalable ETL/ELT processes.
- Strong Python, PySpark and SQL skills for data engineering and scripting tasks.
- Experience with Azure Synapse, SQL Data Warehouse, or similar technologies.
- Proficiency working with Azure Data Lake (Gen2) for storage and data processing.
- Experience using Azure Data Factory for data orchestration.
- Experience handling structured and semi-structured data formats such as JSON and Parquet.
- Exposure and hands-on experience with Unit Testing and Data Testing suits is highly desirable.
- Experience with tools such as Git and basic knowledge of Linux shell scripting.
- Exposure to other cloud platforms such as AWS or GCP is a plus.
