132 Python Engineer jobs in 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.

Join to apply for the Python Software Engineer - Ubuntu Hardware Certification Team role at Canonical

3 weeks ago Be among the first 25 applicants

Join to apply for the Python Software Engineer - Ubuntu Hardware Certification Team role at Canonical

Canonical is hiring a Python Software Engineer to join the Certification team, who make the tools which enable us to know that a desktop, laptop, server or IoT device is working properly. We work at the interface of hardware and software, so the ideal candidate is a Python developer familiar with hardware.

The Certification team develops the tools needed to certify hardware as working with Ubuntu Core as well as Ubuntu Desktop and Server: design hardware which can be used to probe devices independently, and frameworks for software tests that check every aspect of Ubuntu on that hardware.

This is an excellent opportunity for someone who wants to have a meaningful impact for adoption of Linux across multiple device categories and industries. Canonical offers a fun, fast-paced team environment and a career full of learning and development opportunities. This team is centered in EMEA time zones, and works with colleagues on related teams in both the Americas and APAC.

We work together with silicon companies, OEMs, ODMs and teams within Canonical to ensure a smooth, secure out of the box Ubuntu experience, with success in this role leading to a great Ubuntu experience being offered on more and more devices.

Role description

We are looking for a self-motivated software engineer with experience developing in Python, to work on test automation tools or Linux based embedded hardware. This role offers an exciting opportunity to push the industry forward by enabling entirely new Linux based hardware testing capabilities, scaling up hardware certification efforts and allowing for deeper test coverage.

The role involves the development and maintenance of Canonical's open source certification tools, supporting the creation of hardware solutions for test automation, and automating our existing processes. We seek out continuous process and tooling improvements as part of expanding the certification test suites, ultimately to improve the quality of Linux experience felt by millions of Linux end users.

Key responsibilities

• Maintain and develop new features to our Python based test automation tools like Checkbox, used by both in-house teams and industry partners.
• Invent new ways to enable remote, automated testing.
• Help build the software counterpart to in-house designed testing hardware to help test device enablement (graphics, hotplug, bluetooth, etc).
• Write functional and performance tests to support hardware enablement and to protect from regressions.
• Participate in meetings involving international travel 2-3 times per year.
  
  

• Knowledge of Python programming language.
• Quality oriented, pragmatic approach to software design and implementation.
• Interest in test automation methodologies.
• Previous experience working with Ubuntu or other Linux distributions.
• Ability to be productive in a globally distributed team.
  
  

• Passion for tinkering: you are a maker.
• Experience working in an agile environment.
• Hardware testing experience, for example in the IoT space.
• Familiarity with the C programming language.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Canonical by 2x

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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.

Experience : 4-6yrs

Job description :

We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

Responsibilities:

1. Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
2. Write clean, high-performance, high-quality, maintainable code.
3. Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
4. Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
5. Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
6. Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

Requirements:

1. Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
2. Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
3. Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

Data Engineer – SQL

Location: Doha, Qatar

Salary: QAR 12,000-15,000 (Full Package)

Contract: 6 Months (Extendable)

About the Role

Our client, a leading multinational technology company, is seeking a skilled Data Engineer – SQL to join their team in Doha. This role requires strong expertise in T-SQL scripting, database optimization, and performance tuning within Microsoft Azure SQL and SQL Server environments. The ideal candidate will have a proven track record in ensuring high-performing databases and supporting business-critical systems.

Key Responsibilities

• Design, maintain, and optimize databases in Azure SQL and SQL Server.
• Write, refine, and troubleshoot advanced T-SQL queries, stored procedures, and functions.
• Analyze execution plans, implement indexing strategies, and resolve performance bottlenecks.
• Ensure data accuracy by validating query outputs against business requirements.
• Manage backups, security configurations, and user access controls.
• Leverage Power BI for data analysis and reporting.
• Document database structures, configurations, and performance improvements.
• Set up and maintain monitoring and alerting tools for proactive database management.
• Implement security and compliance measures across database environments.
• Collaborate with developers, analysts, and stakeholders for seamless integration.
• Use Git & Azure DevOps for version control and best practices in development.

Qualifications

• Bachelor's degree in computer science or a related field.
• 5–6 years of SQL development experience with advanced T-SQL and performance tuning.
• Proficiency in Azure SQL and SQL Server administration.
• Strong ability to debug and optimize complex queries and functions.
• Experience using Git for source control and team collaboration.
• Attention to detail and commitment to clear documentation.
• Basic reading and understanding of Arabic is preferred.

Why Join?

• Opportunity to work with a prestigious multinational technology company.
• Exposure to cutting-edge data technologies in a global environment.
• Competitive package: QAR 12,000-15,000 (all-inclusive).
• Potential for contract extension.

Important.

Applicants must answer the pre-screening questions to be considered for this position.

THOSE WHO CAN JOIN IMMEDIATELY SHOULD APPLY. REGRETTABLY ONLY SHORTLISTED CANDIDATES WILL BE CONTACTED

About Job Hub Global

At Job Hub Global, we believe that people are at the heart of every great organization. As a premier HR consultancy, we are passionate about helping businesses thrive by providing bespoke recruitment, staff outsourcing, workforce solutions, and HR management consultancy services that are tailored to meet your unique needs.

With a deep understanding of the evolving workplace, we are committed to connecting exceptional talent with exceptional companies. Our mission is to empower businesses with the right people, processes, and strategies to drive success. Whether you're looking to build a high-performing team, streamline your workforce, or navigate the complexities of HR management, Job Hub Global is here to partner with you every step of the way.

Together, we'll turn challenges into opportunities and dreams into achievements. Your success is our business.

Job Types: Full-time, Contract

Contract length: 6 months

Pay: QAR15, QAR17,000.00 per month

Application Question(s):

• Do you have 5–6 years of experience in SQL development, with strong expertise in T-SQL scripting and performance tuning?
• Are you proficient in Microsoft Azure SQL and SQL Server administration?
• Do you have hands-on experience with query optimization, indexing strategies, and troubleshooting complex queries?
• This role requires collaboration using Git and Azure DevOps. Do you have practical experience with these tools?
• The offered salary is between QAR 12,000 and QAR 15,000 (full package). Do you accept this compensation?

Job Role: Big Data Engineer – Dremio Administrator

Location: Qatar/offshore

Job Type: Yearly Renewable Contract

Industry: Banking

Our client is looking for a skilled
Big Data Engineer – Dremio Administrator
to join their dynamic team. If you have strong hands-on experience with
Dremio administration
and a passion for optimizing big data environments, this role is perfect for you.

Role Overview:

• Administer and optimize the newly implemented Dremio platform
• Develop and deploy Machine Learning modules, scoring cards, and automated delivery platforms for banking use cases
• Build and manage data pipelines using Python & Airflow
• Ensure high-performance SQL query optimization & data integration
• Collaborate with business teams to deliver end-to-end analytics & BI solutions

Must-Have Skills:

• Strong Banking / Financial services domain experience (preferred & highly valued)
• Proven expertise in Python
• Proficiency in MS SQL
• Hands-on experience with Apache Airflow
• Dremio administration (newly implemented – critical skill)

Nice-to-Have:

• Broader experience in Big Data technologies
• Exposure to Cloud platforms (AWS, Azure, GCP)
• Strong background in data pipelines, ETL & BI tools