Data Engineer (Saudi National)

Envision Employment Solutions; Saudi Arabia; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading IT consulting firm in Riyadh is seeking a full-time Data Engineer. The successful candidate will design, build, and manage scalable data pipelines, perform data integration, and develop data models to optimize operations. Proficient in data engineering, analytics, and tools like Python and SQL is essential. This on-site role offers an opportunity to work with cross-functional teams to support business operations and analytics. Knowledge of cloud platforms like AWS is a plus.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related fields.
• Proficiency in Data Engineering and Data Modeling.
• Experience with Extract, Transform, Load (ETL) processes and Data Warehousing.
• Strong skills in Data Analytics and working with large-scale datasets.
• Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, Java).
• Knowledge of cloud platforms and big data tools (AWS, Azure, Hadoop) is a plus.
• Strong problem-solving abilities and attention to detail.

Responsibilities

• Design and manage scalable data pipelines and integrations.
• Develop data models for optimization.
• Build ETL processes and maintain data warehouses.
• Collaborate with teams to deliver data-driven solutions.

Skills

Data Engineering

Data Modeling

ETL processes

Data Analytics

Python

SQL

Java

AWS

Azure

Hadoop

Education

Bachelor's degree in Computer Science, Data Science, or related fields

Job description

Job Summary

Envision Employment Solutions is currently looking for a Data Engineer (Saudi National) for one of our partners, a global leader in the IT Services and IT Consulting. This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related fields
• Proficiency in Data Engineering and Data Modeling
• Experience with Extract, Transform, Load (ETL) processes and Data Warehousing
• Strong skills in Data Analytics and working with large-scale datasets
• Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)
• Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus
• Strong problem-solving abilities and attention to detail