Data Integration Jobs in Doha

• 6 - 12 Years
• Doha - Qatar

Design and develop scalable data pipelines using Azure Data Factory, ensuring data integrity and collaborating with stakeholders for optimal solutions.

• 9 - 18 Years
• Doha - Qatar

Responsible for planning and delivering AI programs, managing multi-vendor teams, dependencies, and stakeholder communications while ensuring compliance and operational readiness.

• 3 - 6 Years
• Doha - Qatar

Lead machine learning model development, optimize big data pipelines, and deliver analytics solutions using Python, SQL, and Spark for enhanced business performance.

• 8 - 15 Years
• Doha - Qatar

Design and implement scalable AI solutions for sports, healthcare, and education, integrating data systems while ensuring compliance and performance optimization.

• 0 - 5 Years
• Doha - Qatar

Conduct comprehensive data analysis, develop bioinformatics pipelines, and publish findings; requires PhD in Bioinformatics and strong programming skills.

• 15 - 20 Years
• Doha - Qatar

Define technical architecture for smart city projects, ensuring integration of technologies, data management, and cloud solutions while leading development and documentation.

• 6 - 8 Years
• Doha - Qatar

Lead HR transformation projects, redesign HR processes, support technology enablement, and manage change while ensuring quality deliverables and stakeholder engagement.

• 5 - 10 Years
• Doha - Qatar

This role involves developing advanced reporting frameworks, supporting data-driven decisions, and mentoring analysts while utilizing Power BI and ensuring architectural consist...

• 3 - 5 Years
• Doha - Qatar

Design and maintain scalable data pipelines using Apache Airflow and Google Cloud Platform, ensuring data quality and collaborating with cross-functional teams.

• 0 - 2 Years
• Doha - Qatar

Assist in prototyping AI solutions, support model evaluation, and contribute to data pipelines while writing clean Python code and documenting work.

• 5 - 10 Years
• Doha - Qatar

Design and manage CI/CD pipelines, automate workflows, and collaborate with teams to ensure data engineering excellence using cloud technologies and tools.