60 Data Engineer jobs in Qatar

Job Summary:
We are looking for a skilled Data Engineer – Power BI & ETL Specialist who can extract, transform, and prepare data from multiple sources and build robust Power BI dashboards and reports. The ideal candidate will have experience in SQL, Python, Power BI, and ETL tools like SSIS. This role involves integrating data from multiple systems such as ITSM, NOC, SOC, and Finance.

Key Responsibilities:

• Extract, clean, and transform raw data using SQL and Python

• Build and manage ETL pipelines using SSIS and other ETL tools

• Create curated datasets and structured data models for Power BI

• Design and develop Power BI dashboards, reports, and KPI/SLA scorecards

• Integrate data from systems like ITSM, NOC, SOC, and Finance platforms

• Write efficient SQL queries and stored procedures to support reporting needs

• Collaborate with business stakeholders to gather and analyze data requirements

• Perform ad-hoc data analysis and deliver custom datasets and reports

Required Skills:

• Strong proficiency in SQL (joins, CTEs, optimization)

• Experience with Power BI (data modeling, DAX, dashboards)

• Hands-on with Python for scripting and data manipulation

• Experience in building and managing ETL workflows (preferably SSIS)

• Familiarity with API integrations (REST/SOAP)

• Knowledge of systems like ServiceNow, Splunk, SAP, or similar is a plus

• Strong problem-solving and communication skills

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field

• Experience working in IT Services or a similar fast-paced technology environment

• Knowledge of data governance and quality assurance best practices

The Data Engineer handles thedesign, development, and maintenance of data pipelines, ETL processes, anddatabase management to support AI and data science initiatives. This roleinvolves ensuring data quality, scalability, and performance across all dataengineering activities.

• Design, develop, and maintain data pipelines, ETL processes,and database systems to support AI and data science initiatives.
• Collaborate with data scientists, AI/ML engineers, and otherstakeholders to understand data requirements and ensure data availability andquality.
• Implement data governance, security, and regulatorystandards in all data engineering activities.
• Optimize data pipelines and processes for scalability,performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of datasystems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in dataengineering technologies and best practices.
• Provide support and guidance to other team members asneeded.
• Prepare and present data engineering reports anddocumentation to senior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theSr. Data Engineer or senior management.
  

• Bachelor’s degree in Data Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud ProfessionalData Engineer, AWS Certified Big Data – Specialty) are preferred
• Minimum of 3 years of experience in data engineering orrelated fields
• Experience in designing and implementing data pipelines, ETLprocesses, and database systems for AI or technology-focused products
• Strong programming skills in languages such as Python, Java,or SQL
• Proficiency in data engineering tools and frameworks (e.g.,Apache Spark, Kafka)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of data engineering principles, ETLprocesses, and database management
• Familiarity with cloud platforms (e.g., AWS, Azure, GoogleCloud) and their data services
• Knowledge of data governance, security, and regulatorystandards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, Java, SQL)
• Data engineering tools and frameworks (e.g., Apache Spark,Kafka)
• Data management systems (e.g., SQL, NoSQL databases)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
  

Job Description – Data Engineer (Arabic Speaker)
Position Overview

We are seeking a skilled
Data Engineer (Arabic Speaker)
to join our growing team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data integrity, and enabling advanced analytics and reporting. Proficiency in Arabic is required to work effectively with regional stakeholders and clients.

Key Responsibilities

• Design, develop, and maintain
  ETL/ELT pipelines
  for structured and unstructured data.
• Build and optimize
  data warehouses, data lakes, and data models
  for analytics and reporting.
• Collaborate with
  business analysts, data scientists, and stakeholders
  to understand requirements and translate them into technical solutions.
• Ensure
  data quality, consistency, and security
  in line with organizational and regulatory standards.
• Work with
  cloud platforms (Azure, AWS, or GCP)
  to manage and optimize data infrastructure.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Develop
  data documentation, dictionaries, and workflows
  to support end users.
• Support
  Arabic-language datasets
  and ensure accurate handling of regional and linguistic requirements.

Qualifications & Skills

• Bachelor's or Master's degree in
  Computer Science, Information Systems, Data Engineering, or related field
  .
• 2–5+ years
  of proven experience as a
  Data Engineer
  or in a similar role.
• Strong knowledge of
  SQL, Python, and/or Java/Scala
  .
• Experience with
  big data tools
  (Spark, Hadoop, Kafka, etc.) and
  ETL frameworks
  .
• Hands-on experience with
  cloud data services
  (Azure Data Factory, AWS Glue, Google BigQuery, etc.).
• Familiarity with
  data visualization tools
  (Power BI, Tableau, QlikView, etc.) is a plus.
• Knowledge of
  data governance, security, and compliance standards
  .
• Strong problem-solving skills and ability to work in a
  fast-paced, multicultural environment
  .
• Fluency in Arabic (spoken and written)
  and strong proficiency in English.

Preferred Skills

• Experience in
  machine learning data preparation
  and advanced analytics.
• Knowledge of
  regional regulations
  around data privacy and protection (e.g., GDPR, NCSA Qatar, etc.).
• Background in
  telecom, government, or financial sectors
  is a plus.

Soft Skills

• Excellent communication and interpersonal skills to liaise with Arabic-speaking stakeholders.
• Strong analytical mindset with attention to detail.
• Team player with the ability to manage multiple priorities.

Location

• Doha, Qatar

Job title

Data Engineer

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

• Closing date: 08-Sep-2025

About the role

Welcome to a world where ambition propels success

We are pleased to announce an exciting opportunity to be part of our Discover Qatar Team as a Data Engineer in Doha

In this role, you will play a significant part in creating reliable architectures for building highly scalable data pipelines to collect a large amount of data from different sources and transform it into a usable format for analysis. The role involves designing, implement and maintain a full suite of real-time and batch jobs that fuels our cutting-edge data analytics platform to provide real-time intelligence to our businesses.

Specific responsibilities include:

• Be a full stack data engineer to build highly scalable, high quality data products.
• Create and maintain optimum data pipeline architecture for ingestion, storage, processing & transformation of data for building data products for analytics
• To ensure data product is complete and accurate, perform data validation through cleansing and defining the rule for detecting and managing outliers.
• Ensure Audit, Balance & Control are implemented for Consistent, Complete & Comprehensive Data Quality and Data Integrity management
• Ensure compliance to data strategy and governance and integrate organization's data management processes in to data product development.
• Accountable for implementing modern-day security controls for sensitive data products for security compliance
• Write automated unit test cases for data products and their integration with continuous integration and continuous deployment (CI/CD) pipeline to support agile development and reliability.
• Develop data quality routines for the data products to ensure high quality outcomes.
• Provide 24 / 7 support for the data products developed to ensure business continuity.
• Identifies and manages reference data in consultation with the respective business team to ensure their correctness and integrity
• Build solutions which are scalable, resilient and sustainable with technical architects to address business requirements.
• Tackle challenges and solve complex problems on daily basis to ensure minimal impact to the business operations.
• Perform other department duties related to his / her position as directed by the Head of the Department.

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.

About you

To be successful in this role, you must meet the following requirements:

• Bachelor's degree or equivalent (E.g Computer Science, Engineering, commerce, business administration or any related field)
• Minimum 04 years professional of job-related experience
• Hands-on data engineering experience in working with big data using technologies like Hadoop/Hive, Hyperscale PostgreSQL, Java/Scala, Spark, Kafka, SQL and NoSQL, Python, azure cloud-based data engineering solutions (ex: Azure Databricks, Google Big Query).
• Experience on data tools, data modeling, data visualization, and pipeline design & development.
• Experience with data warehouse platforms (ex Azure Data bricks, Google Big Query).
• Experience with Alteryx, visualization tools - Tableau, Power BI.
• Strong technical knowledge of performance tuning and query optimization on large data sets

You'll have an edge if you have:

§ Knowledge of airline domain.

§ Knowledge of agile/lean development methodologies.

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.

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.

The Principal Data Engineer handles the design, development, and maintenance of data pipelines, ETL processes, and database management to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

• Design, develop, and maintain data pipelines, ETL processes, and database systems to support AI and data science initiatives.
• Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality.
• Implement data governance, security, and regulatory standards in all data engineering activities.
• Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in data engineering technologies and best practices.
• Mentor and provide guidance to junior data engineers and other team members.
• Prepare and present data engineering reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Head of Data & AI Engineering or senior management.

• Bachelor's degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data - Specialty) are preferred.
• Minimum of 8 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, SQL.
• Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data engineering principles, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.

The Principal Data Engineer handles the design, development, and maintenance of data pipelines, ETL processes, and database management to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

• Design, develop, and maintain data pipelines, ETL processes, and database systems to support AI and data science initiatives.
• Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality.
• Implement data governance, security, and regulatory standards in all data engineering activities.
• Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
• Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
• Stay updated with the latest advancements in data engineering technologies and best practices.
• Mentor and provide guidance to junior data engineers and other team members.
• Prepare and present data engineering reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Head of Data & AI Engineering or senior management.

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred.
• Minimum of 8 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, SQL.
• Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data engineering principles, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.

The Sr. Data Engineer supports the design, development, and maintenance of data pipelines, ETL processes, and database systems to support AI and data science initiatives. This role involves ensuring data quality, scalability, and performance across all data engineering activities.

1. Support the design, development, and maintenance of data pipelines, ETL processes, and database systems to support AI and data science initiatives.
2. Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand data requirements and ensure data availability and quality.
3. Implement data governance, security, and regulatory standards in all data engineering activities.
4. Optimize data pipelines and processes for scalability, performance, and cost-efficiency.
5. Monitor and ensure the performance and reliability of data systems, identifying and resolving issues as needed.
6. Stay updated with the latest advancements in data engineering technologies and best practices.
7. Mentor and provide guidance to junior data engineers and other team members.
8. Prepare and present data engineering reports and documentation to senior management and stakeholders.
9. Participate in project planning and contribute to the development of project timelines and deliverables.
10. Perform other duties relevant to the job as assigned by the Principal Data Engineer or senior management.

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• Relevant certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty) are preferred.
• Minimum of 5 years of experience in data engineering or related fields.
• Experience in designing and implementing data pipelines, ETL processes, and database systems for AI or technology-focused products.
• Strong programming skills in languages such as Python, SQL.
• Proficiency in data engineering tools and frameworks (e.g., Apache Spark, Kafka).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Attention to detail and commitment to quality.
• In-depth understanding of data engineering principles, ETL processes, and database management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Ability to work independently and as part of a team.