About the Job:
The Senior Data Engineer will lead and mentor a Databricks engineering team while driving best-practice data development, architecture, and SDLC standards. This position involves owning high-quality delivery, reviewing code, shaping technical designs, breaking down user stories, and supporting the organization’s Databricks modernization. The role emphasizes continuous improvement of tools, processes, and data product reliability through strong technical leadership and clear communication.
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Accountabilities:
- Execute strategy, follow engineering principles, and apply design frameworks for delivery.
- Lead and coach a team of Databricks Data Engineers.
- Develop, guide, and verify application development aligned to Databricks best practices.
- Improve and uplift data engineering standards, and SDLC frameworks.
- Support Chapter activities to modernize, grow, and mature data and platform engineering capabilities.
- Perform peer code reviews and provide constructive feedback to uplift overall coding quality.
- Recommend improvements to enhance the quality and reliability of data products.
- Contribute to low-level architecture and technical design aligned with high-level solutions and business requirements.
- Analyze and decompose user stories into clear implementation tasks within the agile development team.
- Proactively identify new frameworks, tools, technology, and processes to improve development team efficiency.
- Contribute to the Databricks modernization roadmap in the organization.
- Take responsibility for the end-to-end quality of personal deliverables.
- Communicate clearly and effectively with team members throughout the implementation lifecycle.
Education & Experience:
- 5+ years of experience in a data and platform engineering role or related functions.
- Bachelor's degree in a related field and relevant technology certifications.
- Strong Azure Databricks hands-on experience.
- Deep PySpark + SQL engineering capability.
- Experience building reusable frameworks and standards.
- Comfortable working inside enterprise-scale environments (Lakeflow pipelines, DBSQL, Unity Catalog).
- Strong DataOps background, with experience on Azure DevOps or similar tools to support CICD of data products.
Language Requirements:
Not specified.
About the Company:
The company, the national airline of the UAE, was formed in 2003 and quickly became one of the world’s leading airlines. From its base in Abu Dhabi, it serves passenger and cargo destinations across multiple continents. The airline has received numerous awards for its superior service and products, cargo offerings, and loyalty program, all as part of its ambitious Journey 2030 strategy. This strategy aims to double its fleet size and triple the number of customers over the next six years.
For more information, visit the company's website.
Recruitment Fraud Alert:
Beware of fraudulent job offers from individuals or organizations claiming to represent the company. The company 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.
