Engineering Remote Jobs in Saudi Arabia

Join Our Team as a Senior Data Engineer
At Salla, we are looking for a talented Senior Data Engineer to join our dynamic team. This role is perfect for individuals with a strong background in ClickHouse and streaming data who are passionate about building scalable, real-time analytics solutions.

Key Responsibilities:

• Design, implement, maintain, and document highly scalable data pipelines for real-time and batch processing.
• Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.
• Develop and maintain solutions for streaming and serverless data processing.
• Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.
• Ensure data quality, reliability, and performance across the platform.
• Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.
• Mentor junior engineers and contribute to the continuous improvement of engineering practices.

Join Quant as a Data Engineer!
Are you passionate about data and eager to make an impact? At Quant, we are looking for a dedicated Data Engineer to develop and maintain efficient data pipelines and infrastructure supporting our analytics and business intelligence initiatives.

Key Responsibilities:

• Design, build, and maintain reliable data pipelines using SQL, Python, and cloud technologies.
• Integrate multiple data sources into centralized analytics systems.
• Perform data cleansing and validation to ensure accuracy.
• Collaborate with data scientists and analysts to ensure data availability for modeling.
• Monitor and optimize ETL processes for better performance and scalability.
• Assist in implementing data models for reporting and predictive analytics.
• Apply software engineering best practices in development and testing.
• Stay updated with new data tools and techniques.
• Document data workflows clearly and concisely.
• Troubleshoot and resolve data-related issues effectively.

Requirements:

• Proficient in Python for data processing.
• Strong understanding of SQL and relational databases.
• Familiar with ETL tools (Airflow, Alteryx, etc.).
• Basic knowledge of cloud platforms (AWS, GCP, Azure).
• Understanding of data modeling concepts.
• Knowledge of data visualization tools is a plus.
• Strong problem-solving skills and attention to detail.
• Team player in a multicultural environment.
• Bachelor’s degree in Computer Science or a related field.
• Eager to learn and grow in a data-focused role.