Question
5-10

Senior Data Engineer - Data Cloud

4/8/2026

Design, implement, and optimize scalable data pipelines and architectures using Google Cloud Platform services. Collaborate with cross-functional teams to ensure data quality, security, and efficient integration across the organization.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

No

About The Company
Qatar Airways is the national airline of the State of Qatar. Based in Doha, the Airline’s trendsetting on-board product focuses on: comfort, fine cuisine, the latest in-flight audio & video entertainment, award-winning service and one of the youngest and most advanced aircraft fleet in the sky. Awards by industry audit Skytrax: - Airline of the Year (2011, 2012, 2015, 2017, 2019, 2021, 2022, 2024, 2025) - World's Best Business Class (2010, 2013, 2014, 2016, 2017, 2018, 2019, 2021, 2022, 2023, 2024, 2025) - World’s Best Business Class Airline Lounge (2013, 2014, 2016, 2017, 2021, 2023, 2024, 2025) - Best Airline in the Middle East (2011, 2012, 2013, 2014, 2015, 2017, 2018, 2019, 2021, 2022, 2023, 2024, 2025) Connecting through its Doha hub, Qatar Airways serves more than 170 key business and leisure destinations worldwide, with a fleet of over 200 aircraft. The airline flies to Australia, Asia, Europe, Middle East, Africa, North America, and South America. Qatar Airways is looking for the very best candidates to help support the Airline's incredible growth. Visit http://bit.ly/QRvacancies to land a great career. Please visit www.qatarairways.com/support if you require a response to a formal complaint.
About the Role

About the Role: We are seeking a highly skilled Senior Data Engineer with extensive experience in Google Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing data pipelines and architectures to support our data-driven decision-making processes. You will collaborate with cross-functional teams to ensure the seamless integration and utilization of data across the organization.

Key Responsibilities:

  • Design and develop scalable data pipelines and architectures using Google Cloud Platform (GCP) services.
  • Create and maintain optimum data pipeline architecture for ingestion, storage, processing & transformation of data for building data products for analytics
  • Implement data integration solutions to consolidate data from various sources.
  • Build the optimal data extraction & transformation mechanisms for various kinds of data.
  • Optimize data storage and retrieval processes for performance and cost-efficiency.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality, integrity, and security across all data processes.
  • Conduct pro-active performance and fine tuning for early detection and rectification of slow response, application errors, tuning, and implement corrective and preventive actions.
  • Monitor and troubleshoot data pipeline issues to ensure continuous data flow.
  • Build data pipelines which are scalable, resilient and sustainable to address business requirements.
  • Excellent problem-solving skills and attention to detail.
  • Stay updated with the latest trends and best practices in data engineering and Google Cloud technologies.

Be part of an extraordinary story:

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.

Together, everything is possible.



Required Skills:

  • Proven experience as a Senior Data Engineer, with a focus on Google Cloud Platform (GCP).
  • Strong proficiency in GCP services such as BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage.
  • Expertise in SQL and database management.
  • Experience with ETL processes and tools.
  • Proficiency in Python programming language.
  • Knowledge of data modeling, data warehousing, and data lakes.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Skills:

  • Experience with machine learning and AI frameworks.
  • Knowledge of containerization and orchestration tools.
  • Experience with data visualization tools (Tableau, PowerBI, Looker).
  • Understanding of data governance and compliance standards.
  • Knowledge of airline domain
  • Knowledge of agile/lean development methodologies

About you:

The applicant should have a bachelor’s degree or equivalent (Degree in engineering, computer applications, commerce, or business administration). You must have minimum 8 years of data engineering experience.  Should have excellent verbal and written communications skills. Also possess good analytical, interpersonal skills and a proven team player.

About Qatar Airways Group:

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before.

So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. 

How to apply:

If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

Key Skills
Google Cloud PlatformBigQueryDataprocDataflowPub/SubCloud ComposerCloud StorageSQLDatabase ManagementETLPythonData ModelingData WarehousingData LakesProblem-solvingCommunication
Categories
Data & AnalyticsTechnologySoftwareEngineering
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