94 Team Data jobs in Qatar

Job title

Manager Data Science | Revenue Management

Ref #

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.

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.

Data modelling: Develop custom data models and algorithms to apply to data sets
Data Mining, Cleaning and Munging
Data Visualization and Reporting (Power BI)
Data warehousing and structures
Business Process and Workflow (SharePoint)
Statistical Analysis and Risk Analysis
Database Programming (SQL)
Software Engineering Skills
Problem-Solving
Effective Communication

Bachelor or Master level degree in Business, Computer, Information Science or a related field
Eight years (8) years of experience in a business environment with specific exposure to Business Processes and Data Analysis relating to Project Management required, preferably in the oil and gas industry
Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
Experience in statistical and data mining techniques (Data Mining, Cleaning and Munging) to mind and analyze data from company databases, ERP and other legacy data sources/systems to drive optimization techniques and business strategies
Experience in Data Visualization, dashboard and Reporting using Data Visualization Tools such as (Power PI, Tableau, SAS, Python, etc) with experience using web services and cloud tools
Knowledge of Master data object definitions and models would be an advantage
Knowledge in Business Process Analysis, Modelling, Optimizing and Workflow automation
Experience in business process analysis, modelling, notation, process improvement methodologies, optimization strategies and statistical process control
Experience in documentation and diagramming approaches used to describe typical business components including entity relationship diagrams, process diagrams, and workflow diagrams
Good exposure to Project Management principles and practices
Thorough understanding of Business Process management and ability to plan/conduct study and document the results
Expert proficiency in using MS Office suite applications, MS SharePoint and Power BI

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

C-17 Product Data Management Specialist

Boeing is hiring for a C-17 PDM specialist in Al-Udeid, Qatar.

Role Responsibilities:

• The position requires the successful applicant to deal directly with the military customer at Al Udeid Air Base and its personnel on a daily basis.
• The applicant must demonstrate the ability to adapt to a different cultural environment and the ability to work independently with minimal supervision.
• The applicant will verify that the customer logistics data management records received meet documented regulations and will coordinate with customers to resolve routine problems regarding data accuracy and data integrity.
• The applicant will transcribe the customer data into the appropriate data systems. These systems will include the US Air Force FMxC2 system, C-17 Standard Flight Data Recorder, and C-17 engine Quick Access Recorder repositories.
• The applicant will ensure data quality, maintain process records and files, keep accountability records and make final disposition of data, records and files.
• The successful applicant will be responsible for responding to customer requests for a variety of pre-programmed and customized C-17 data reports extracted from the data systems, principally from the US Air Force FMxC2 system.

Required Qualifications/Experience:

• US Security Clearance Required - US Citizen
• Candidates should also have previous experience working in an environment where flexibility is essential and prompt responses to ad-hoc customer requests are expected.

Desired Qualifications Experience:

• Prior experience utilizing the USAF FMxC2 data system is beneficial
• Ideal candidates will have a working knowledge of performing product data management and configuration status accounting tasks in support of Department of Defense contracts as well as knowledge of quality systems (Boeing Quality Management System (BQMS) and Aerospace Standard (AS9100)).
• Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is desired.

This International Local Hire Employee (ILHE) position is in support of the C-17 Globemaster III Sustainment (G3) contract.

This position offers relocation based on candidate eligibility.

This requisition is for an international, locally hired position in Al-Udeid, Qatar. Benefits and pay are determined at the local level and are not part of Boeing U.S.-based payroll and will commensurate with experience and qualifications and in accordance with applicable Qatari law. Employment is subject to the candidate's ability to satisfy all Qatari labor and immigration formalities.

Applications for this position will be accepted until Oct. 09, 2025

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship

Employer willing to sponsor applicants for employment visa status.

Shift

Not a Shift Worker (Qatar)

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world's most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

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.

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.

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.

About Commercial Bank
Commercial Bank , Founded in 1975 and headquartered in Doha , plays a vital role in Qatar's economic development through offering a range of personal, business, government, international and investment services. At Commercial Bank of Qatar, we believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us , you'll be part of workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking

Job Summary
Data Engineer is one of the key roles in a major initiative of Enterprise Data Fabric development which is a part of CBQ's Data Strategy and overall Digital Transformation. As a part of Data Governance and Engineering department Data Engineer will be implementing various data management systems such as Data Lake, RDM, Data Streaming, Metadata management which will be a part of the Enterprise Data Fabric. Data Engineer will also work closely with number of IT, PMO, Data and operations teams to understand their needs and ensure that the Enterprise Data Fabric contributes to overall data quality, availability, democratization and culture.

Key Responsibilities

• Participate in Data Management systems implementation projects: Data Lakehouse, Data Streaming, Metadata management, Reference Data Management
• Develop data pipelines to bring new data to Enterprise Data Fabric
• Ensure data pipelines are efficient, scalable, and maintainable
• Comply with data engineering and development best practices (CI/CD, Code Management, Testing, Knowledge Management, Documentation etc.)
• Ensure that all Data Policies are met within Enterprise Data Fabric.
• Ensure that implemented systems correspond with target Data Architecture
• Support Data teams (DQ, Data Governance, BI, Data Science) in achieving their goals
• Maintain agile delivery process based on one of frameworks: Kanban, Scrum
• Ensure that SLAs with data consumers and data sources are maintained
• Implement all necessary monitoring, alerting
• Facilitating collaboration between IT and wider Data team and supporting data science, BI and Data Excellence teams to ensure seamless integration and effective communication.

Key Competencies

• Python (Advanced level)
• Airflow or Apache NiFi
• K8s (OpenShift), Docker
• RDBMS: MS SQL Server, PostgreSQL, Oracle
• ETL (at least one of): SSIS, Informatica PowerCenter, IBM Datastage, Pentaho
• SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries)
• Git (GitHub/GitLab)
• Kafka is a plus
• Object Storage (S3, GCS, ABS) is a plus
• Spark is a plus
• Experience with dbt is a plus
• Familiar with Data Warehousing (Star/Snowflake schemas) And Data Lake
• Agile methodologies (Kanban, Scrum)
• Strong problem-solving skills

*Why Commercial Bank? *

• Best Performing Bank in Qatar in The Banker's prestigious Top 1000 World Banks Rankings 2025.
• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual's unique perspective

At Commercial Bank, we don't just offer careers, We shape futures by pioneering digital transformation in Qatar's banking sector, blending digital-first approach to redefine banking through innovative solutions.

Disclaimer
We appreciate your interest in joining CBQ Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

About the Data Platform

We are building a robust
Data & AI platform
to drive smart insights, enable automation, and empower strategic decision-making across various business sectors.

We are seeking a
passionate and skilled Data Engineer
to join our growing team and help design, develop, and optimize our data infrastructure on Microsoft Azure.

Job Summary

The
Data Engineer
will play a key role in designing, building, and maintaining scalable data pipelines and solutions using the
Azure ecosystem
— with a strong focus on
Azure Data Factory, Azure Databricks, PySpark, and Delta Lake
.

This role involves close collaboration with the
Head of Data & AI
to implement efficient, secure, and high-performance data workflows that enable advanced analytics and AI-driven insights.

Key Responsibilities

• Design, develop, and maintain
  ETL/ELT pipelines
  using
  Azure Data Factory
  and
  Azure Databricks
  .
• Implement data workflows leveraging
  PySpark
  and
  Delta Lake
  following
  Medallion Architecture
  principles.
• Build scalable and efficient
  data models and pipelines
  for both structured and unstructured data.
• Collaborate with
  Data Analysts
  ,
  Data Scientists
  , and
  Business Stakeholders
  to deliver reliable data solutions.
• Ensure
  data quality
  ,
  validation
  , and
  governance
  across all data pipelines.
• Optimize data performance, cost, and storage using
  Azure-native tools
  .
• Support
  AI/ML model deployment pipelines
  and integrate them into production workflows (a strong plus).
• Write clean, modular, testable, and well-documented
  Python
  code.
• Participate in
  architectural discussions
  ,
  code reviews
  , and
  Agile ceremonies
  .
• Continuously identify and implement
  process improvements
  in data infrastructure and development workflows.

Key Qualifications

• 3+ years
  of experience in
  Data Engineering
  roles.
• Proven hands-on expertise with:
• Azure Data Factory (ADF)
• Azure Databricks
• Delta Lake / Lakehouse Architecture
• PySpark
  and
  distributed data processing
• SQL
  and
  Python
• Strong understanding of
  data warehousing
  ,
  data modeling
  , and
  data governance best practices
  .
• Familiarity with
  CI/CD pipelines
  ,
  version control (Git)
  , and
  DevOps
  practices.
• Excellent
  communication
  ,
  problem-solving
  , and
  collaboration
  skills.
• Eagerness to learn and contribute to a rapidly evolving
  Data & AI landscape
  .

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 Description
We are currently looking Data Analyst for our Qatar operations with the following terms & conditions.

Responsibilities :

• Query clean, and prepare datasets to support predictive model development.
• Perform data profiling, outlier analysis, missing value treatment, and variable selection.
• Generate statistical summaries, histograms, distributions, and correlations to support model assumptions
• Assist in feature engineering with code (Python, SQL) based pipelines.
• Develop intemal data validation and sanity checks to support model input/output reliability.

Expertise Required

• Advanced SQL and scripting for large-scale data extraction and transformation
• Strong in Python for data analysis (Pandas, matplotlib, seaborn).
• Experience using Jupyter notebooks, Git, and shared model/analytics repos
• Comfort working with transactiorial, behavioral, and log-based data
• Self-directed and technical; works off specifications from data science lead or product owner
• No need to present to business users or interpret commercial outcomes
• Focus on clean, efficient code, reproducibility, and high data integrity

Joining time frame: 2 weeks (maximum 1 month)