Senior Data Engineer Jobs in Riyadh

• 6 - 8 Years
• Riyadh - Saudi Arabia

Design and maintain data pipelines, optimize performance, and collaborate with stakeholders; requires expertise in data platforms, Python, SQL, and cloud technologies.

• 5 - 10 Years
• Riyadh - Saudi Arabia

Design and own scalable data models and cloud data warehouse, ensuring data quality and compliance while supporting AI-driven initiatives.

• 5 - 7 Years
• Riyadh - Saudi Arabia

Design and maintain ETL pipelines using Informatica, ensuring data quality and governance while collaborating with teams to deliver structured datasets.

• 5 - 10 Years
• Riyadh - Saudi Arabia

Design and implement Data Lakehouse architecture, build data ingestion frameworks, ensure data quality, optimize workflows, and maintain security compliance.

• 0 - 1 Year
• Riyadh - Saudi Arabia

Assist in building data pipelines, develop data models, write SQL queries, and support AI solutions with strong Python and SQL skills.

• 7 - 10 Years
• Riyadh - Saudi Arabia

Responsible for architecting AI solutions, managing stakeholder relationships, and delivering upskilling sessions with expertise in Azure, Python, and MLOps.

• 6 - 8 Years
• Riyadh - Saudi Arabia

Design and develop complex ETL workflows, optimize data integration, ensure data quality, and provide production support with strong SQL and integration platform skills.

• 1 - 2 Years
• Riyadh - Saudi Arabia

Support design and maintenance of data pipelines using Apache Airflow, Python, and Spark while ensuring data quality and security.

• 2 - 7 Years
• Riyadh - Saudi Arabia

Responsible for developing scalable data pipelines, optimizing SQL queries, collaborating with machine learning engineers, and ensuring data quality and performance.

• 5 - 10 Years
• Riyadh - Saudi Arabia

Design and maintain data quality frameworks, collaborate with teams, conduct profiling, and develop automated checks while mentoring junior engineers.

• 5 - 7 Years
• Riyadh - Saudi Arabia

Responsible for managing operations of critical facilities, requiring knowledge in mechanical, electrical, and control systems, with a focus on data center engineering.