Data Engineer Jobs | Data Infrastructure & ETL Engineering Careers

Location

Dhahran, Saudi Arabia

• Information Technology (IT) & Software
• Engineering & Technical
• Science & Research

Mind Stream is seeking an experienced Data Engineer to join its team in Dhahran, Saudi Arabia. This role is ideal for professionals with expertise in building scalable data infrastructure, developing reliable data pipelines, and supporting modern analytics platforms that enable data-driven business decisions.

As a Data Engineer, you will design, develop, and optimize enterprise data solutions while ensuring efficient data ingestion, transformation, and processing. You will collaborate with cross-functional teams using Agile methodologies to deliver high-quality data platforms. This position offers excellent opportunities for professional development through hands-on experience with modern big data technologies, workflow automation, and cloud-ready data architectures.

• Design, develop, and maintain scalable ETL and ELT data pipelines.
• Build and optimize batch and streaming data processing solutions using Apache Spark.
• Develop and manage workflow orchestration using Apache Airflow.
• Design and maintain Data Lake architectures for enterprise-scale data management.
• Implement efficient data ingestion, transformation, and integration processes.
• Optimize SQL and No
  
  SQL databases for performance and scalability.
• Collaborate with engineering teams using Git version control and Agile methodologies.
• Ensure data quality, reliability, and performance across data platforms.
• Support business intelligence and analytics initiatives through robust data engineering solutions.

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
• Strong experience designing and maintaining ETL/ELT data pipelines.
• Hands-on experience with Apache Spark for batch and streaming data processing.
• Experience using Apache Airflow for workflow orchestration.
• Strong understanding of Data Lake architectures and modern data engineering practices.
• Proficiency in SQL and No
  
  SQL database design, modeling, and optimization.
• Experience with Git and Agile software development methodologies.
• Excellent analytical, problem-solving, communication, and teamwork skills.

• Opportunity to work on enterprise-scale data engineering projects.
• Exposure to modern big data technologies and scalable data platforms.
• Collaborative and technology-driven work environment.

• Opportunity to advance into Senior Data Engineer, Data Platform Engineer, Big Data Engineer, or Data Architect roles.
• Exposure to complex data engineering challenges that support long-term professional development.

• Hands-on experience with Apache Spark, Apache Airflow, Data Lake architectures, SQL, No
  
  SQL, and enterprise data engineering best practices.
• Opportunity to strengthen expertise in workflow orchestration, scalable data infrastructure, and modern data technologies.