96 Data Professionals jobs in Qatar

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 Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, feature engineering, and model selection independently.

Build and maintain automated model pipelines including training, validation, scoring and monitoring.

Implement model drift detection, retraining logic, and performance diagnostics.

Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid handling large datasets (via warehouse or lake)

Experience deploying models using MLflow, Airflow, Docker, or similar tools

Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)

Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series

Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases

Joining time frame: 2 weeks (maximum 1 month)

Nair Systems is currently looking Data Scientist for our Qatar operations with the following terms & conditions.

Core Responsibilities:

Design, build, and optimize predictive models and machine learning algorithms using structured and semi-structured data.

Perform data pre-processing, feature engineering, and model selection independently.

Build and maintain automated model pipelines including training, validation, scoring and monitoring.

Implement model drift detection, retraining logic, and performance diagnostics.

Conduct code-based model explainability (eg. SHAP, LIME), support documentation for governance review.

Expertise Required

Advanced proficiency in Python (Pandas, NumPy, Scikit-leam, XGBoost, LightGBM)

Strong command of SQL arid handling large datasets (via warehouse or lake)

Experience deploying models using MLflow, Airflow, Docker, or similar tools

Familiarity with model performance metrics (ROC AUC, F1, lift/gain, etc.)

Hands-on in training and evaluating models for binary classification, multi-class, regression, or time series

Exposure to deep learning (PyTorch or Tensorflow) for advanced use cases

Working knowledge of embeddings, vector stores, or text-based models

Git-based versioning and reproducible ML workflow setup

Joining time frame: 2 weeks (maximum 1 month)

Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest

About us:

Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI.

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.

• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis

• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.

• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like
  Power BI
  to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.

• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor's degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.

• Strong proficiency in data analysis tools and languages, particularly
  SQL
  for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R's tidyverse) is highly valuable.

• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.

• Familiarity with business intelligence and visualization tools, especially
  Power BI
  , to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.

• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman's terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

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

Apt Resources is hiring a Python Data Engineer for our client in the banking sector. This role focuses on Big Data architectures and data warehousing, with hands-on involvement in tools like Tableau, Teradata, NIFI, and IBM DataStage.

Key Responsibilities:

• Design scalable Big Data and DWH architectures.
• Develop KPIs and dashboards to analyze market trends.
• Work with Tableau for data visualization and reporting.
• Perform data migration using NIFI and ETL with IBM DataStage.
• Collaborate with teams and vendors on data-driven initiatives.
• Maintain data privacy, security, and regulatory compliance.

• 3 to 4 years of experience in data engineering or related roles.
• Bachelor's degree in Engineering or a related field.
• Certifications in Big Data or Data Science are preferred.
• Proficiency in SQL, Python, PySpark, and Shell scripting (Bash).
• Experience with data visualization tools like Tableau.
• Familiarity with ETL tools such as IBM DataStage and data pipelines using NIFI.
• Knowledge of REST, JSON, SOAP, and Web Services APIs.
• Strong analytical, communication, and project leadership skills.
• Experience in telecom data (2G/3G) is an advantage.

Salary: USD 2,000 - 2,500 per month