Data Engineer

Synopsis

We are seeking an experienced and proactive Data Engineer to lead the development of scalable, production-grade data pipelines while mentoring junior engineers and shaping engineering standards. You will work hands-on with Databricks (including Azure Databricks), Delta Lake, and Apache Spark to support data-driven decision-making across analytics, product, and data science teams. This is a role that combines technical depth with team leadership, ideal for someone ready to take ownership of critical data systems while guiding others.

Accountabilities

• Design, develop, and optimize scalable data pipelines using Databricks and Azure Databricks, including Apache Spark and Delta Lake.
• Lead and mentor junior engineers through code reviews, architecture discussions, and technical guidance.
• Collaborate with cross-functional teams to define data requirements and deliver reliable data solutions.
• Manage workflows across Azure Data Lake Storage, Azure Synapse Analytics, and Azure Data Factory (or equivalent orchestration tools).
• Contribute to platform architecture decisions involving data modeling, processing frameworks, and performance tuning.
• Implement CI/CD pipelines for data workflows using tools like Azure DevOps or GitHub Actions.
• Enforce engineering best practices around testing, documentation, and maintainability.
• Monitor, troubleshoot, and resolve issues related to data pipeline performance and reliability.
• Ensure data governance, quality, and compliance by integrating with tools like Unity Catalog or Azure Purview.
  
  

Education & Experience

• Bachelor’s degree in computer science or a related field.5+ years of experience in data engineering or a closely related technical field.
• Strong proficiency in Python and SQL for building and managing data workflows.
• Hands-on experience with both Databricks and Azure Databricks, including production use of Apache Spark and Delta Lake.
• Familiarity with cloud-based data platforms (preferably Microsoft Azure).
• Experience with Azure Data Factory, Azure Data Lake, and/or Azure Synapse Analytics.
• Demonstrated ability to lead technical projects and mentor junior engineers.Solid grasp of CI/CD practices and version control systems (e.g., Git).
• Preferred SkillsExposure to data transformation tools like dbt.
• Familiarity with data governance tools such as Unity Catalog, Azure Purview, or similar.
• Experience with containerization (e.g., Docker) and infrastructure-as-code tools (e.g., Terraform, Bicep).
• Strong communication and documentation skills; able to interface with technical and non-technical stakeholders.
  
  

About Etihad Airways

Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world’s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad’s codeshare partners, Etihad’s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad’s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!

To learn more, visit etihad.com

Recruitment Fraud Alert

Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.