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6 Big Data Technologies jobs in Qatar

Manager Data Science

QAR104000 - QAR130878 Y Qatar Airways

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Job Description

Job title

Manager Data Science | Revenue Management

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Location

Qatar - Doha

Job family

Corporate & Commercial

  • Closing date: 30-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 Revenue Management Team as a Manager Data Science in Doha

In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.

You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

Specific responsibilities include:

  • Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities
  • Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.
  • Collaborate with business and technology partners across various departments to deploy AI & ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques
  • Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric
  • Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.
  • Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.
  • Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.
  • Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines
  • Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.
  • Coach and mentor team members for their development and successful project delivery
  • Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.

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.

Qualifications

About you

The successful candidate will have the following skills and qualifications:

  • Bachelor's degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.
  • Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods
  • Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.
  • Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.
  • Excellent programming skills in languages such as Python, R, or SQL.
  • Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)
  • Excellent leadership skills, communication and negotiation skills.
  • Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders
  • Ability to work collaboratively with cross-functional teams.
  • Strong command of English language

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.

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.

This advertiser has chosen not to accept applicants from your region.

Senior Data Science Analyst

Qatar Airways

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Job Description

Job title

Senior Data Science Analyst

Ref #

Location

Qatar - Doha

Job family

Pilots & Flight Operations

  • Closing date: 04-Nov-2025

About the role:

Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.

As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). You will leverage on a wide range of methodologies, including machine learning, optimization, root cause analysis, and prototyping decision-support tools to deliver actionable insights and provide strategic recommendations to senior management and business stakeholders.

Specific responsibilities for the role include:

  • Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.
  • Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.
  • Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations' teams to understand contextual problems and deliver innovative solutions that address business needs.
  • Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.
  • Develop and deploy machine learning models and optimization models.
  • Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.
  • Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.

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.

Qualifications

About you

The successful candidate will have the following skills and qualifications:

  • Bachelor's Degree in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.
  • Minimum of 5 years of relevant experience and minimum 3 years' experience in Data Science role.
  • Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.
  • Excellent presentation skills and data visualization.
  • Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.
  • Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.
  • Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.
  • Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.
  • Experience with top-tier BI tools such as Qlik, Power BI, Tableau.
  • Experience with the Skywise platform will be considered an asset.
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of partners, senior managers, and subject matter experts.

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.

This advertiser has chosen not to accept applicants from your region.

Senior Data Science Analyst

QAR90000 - QAR120000 Y Qatar Airways

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Job Description

Job title

Senior Data Science Analyst - Qatari Nationals only

Ref #

Location

Qatar - Doha

Job family

Corporate & Commercial

  • Closing date: 13-Oct-2025

*About The Role (Qatari Nationals Only) *
As a Senior Data Science Analyst, you will be responsible to lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. Balance numerous facets of data including, for example, technical distinctions across sets of data, maths and statics, software such as machine learning and connect them to business context and value by developing strategies and processes.

Other Key Responsibilities Are:

  • Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.
  • Leads a team of analysts to deliver reliable, on time, revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track a list of data sources available within the company and understand interrelations between different datasets to drive value.
  • Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.
  • Works with traditional revenue management data sources including for example pricing, inventory and market share, bringing skills in computer science, artificial intelligence statistics and machine learning to deliver solutions to deliver revenue.
  • Interprets the requirements of Revenue Management and other stakeholders, analysts and specialists to develop efficient and reliable solutions that to improve the quality of machine and analyst decisions to delivery revenue
  • Collaborate with IT stakeholders, data analysts lead IT investigations from within the Organisation to create synergies and, where possible and applicable, adopt common tools and technologies to analyse digital value
  • Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.
  • Provide comprehensive reports with recommendation for management review and decision making. Working with IT and the Business, assesses and report on the benefits of data science tools, solutions and results to contribute to future investment or business case decisions.
  • Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths in order to propose solutions and strategies to new data processing challenges. Evaluate and problem solve through data analysis by working closely with colleagues to identify data related problems and mend where necessary.
  • Identify challenges and opportunities gained from the analysis and conclude cases by proposing business improvement solutions. Use and apply modern development tools and write code to deliver data enabled solutions that drive personalization.
  • Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.
  • Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.
  • Develops constructive and collaborative relationships with other areas of Commercial and IT to supports the vision to deliver 5 star connections with our customers every time
  • Work closely with Senior Data Science Analysts to build solutions.
  • As a problem solver, works with other RM team members to understand business challenges, applying analytical curiosity to go beyond immediate requirements to find undiscovered insights that, through the use of data will deliver on the commercial and revenue management vision.
  • Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.

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.

Qualifications
Qualifications
*About You *
We are looking for a passionate and experienced professional to join the Revenue Management Team.

  • Bachelor's degree or Master's degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential
  • 6+ years of job-related experience
  • Expert understanding of statistics, operations research, forecasting and optimization methods
  • Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales
  • Excellent communication and negotiation skills. Command of English language
  • Expert understanding of IT related topics.

*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 are interested to submit your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.

*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.

This advertiser has chosen not to accept applicants from your region.

Data Center Technician, Engineering Field Services

QAR90000 - QAR120000 Y Google

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Job Description

Minimum qualifications:

  • Experience in hardware, networking, operating systems, Linux, or project planning.
  • Experience with hardware and operating systems (e.g. Linux) and networking protocols.

Preferred qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Knowledge of basic topology and protocol.
  • Advanced level Linux skills, including installation, systems administration and troubleshooting.

About The Job
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical).

In this role, you will be part of the team that installs, troubleshoots and maintains hardware infrastructure for Internet facing environments.

The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the "flywheel" that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.

Responsibilities

  • Provide ongoing maintenance and repairs including servers, networking and storage devices, such as replacing hard drives, replace RAM, swap CPUs, motherboards, etc.
  • Lead troubleshooting and resolve critical or escalated technical issues over a significant population of affected hardware equipment.
  • Contribute and lead efforts/projects in the deployment, maintenance, and support of current and new data center servers and network infrastructure.
  • Perform active infrastructure upgrades and decommission end of life equipment as required.
  • Follow the site's environmental health and safety policies.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

This advertiser has chosen not to accept applicants from your region.

Education City Job Fair 2025 | Consultative Businesses (Cyber, Engineering, AI & Data, Enterprise...

QAR80000 - QAR120000 Y Deloitte

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Deloitte
, established globally in 1845, is the world's largest and leading professional services firm, providing audit and assurance, tax, consulting, financial advisory, and risk advisory services to public and private clients spanning multiple industries. We are present in more than 150 countries, and as the world's largest management consulting business, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.

Deloitte has a proud legacy in the Middle East region, with an uninterrupted presence since 1926, and is present across 23 offices in 15 countries with 7,000+ professionals in the Levant region and the wider GCC. We have served as trusted advisors for clients for almost 100 years and contributed to the advancements and growth of the professional services industry in the region.

We have received numerous awards in the last few years, such as Brand Finance's strongest and most valuable "commercial services" brand in the world for the 6th consecutive year (2024), the Great Place to Work and Best Workplaces in the UAE , the Great Place to Work and Best Workplaces in the KSA , "World's Most Attractive Employers" (2023), the Middle East Tax Firm of the year These awards are a recognition of how Deloitte makes an impact that matters to its clients, talent, and society.

We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.

Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.

Our shared values guide the way we behave to make a positive, enduring impact:

  • Lead the way.
  • Serve with integrity.
  • Take care of each other.
  • Foster inclusion.
  • Collaborate for measurable impact.
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Big Data Engineer

QAR104000 - QAR130878 Y Linnk Group

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Job Description

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
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