Data engineer – data platform | riyadh, saudi arabia

Location Riyadh, Saudi Arabia — On-site / Client Site Job Category Information Technology (IT) & Software Engineering & Technical Job Overview Master Works is seeking an experienced Data Engineer to support the development and operation of scalable data platforms in Riyadh, Saudi Arabia. The role focuses on building reliable data infrastructure, reusable self-service pipelines, and modern data platform capabilities across data warehouses, data lakes, and lakehouse environments. The successful candidate will be responsible for data pipeline development, orchestration, monitoring, observability, data quality, system integration, performance optimization, security, governance, and compliance. The position requires strong programming and SQL capabilities, combined with practical experience in enterprise-scale data engineering and platform architecture. This opportunity provides strong potential for career growth and professional development through exposure to large-scale data systems, modern data architecture, Infrastructure-as-Code, orchestration technologies, and enterprise data governance. Candidates can further develop their expertise through relevant data engineering certifications, technical training, cloud technologies, and advanced data platform skills. Key Responsibilities Build and maintain scalable enterprise data platforms. Develop reusable and self-service data pipelines. Implement data orchestration, monitoring, and observability capabilities. Ensure data quality, integrity, reliability, and availability. Integrate APIs, databases, and streaming data systems. Manage data warehouses, data lakes, and lakehouse environments. Optimize data workflows and pipeline performance. Implement data security, governance, and compliance controls. Define data platform standards, architecture, and engineering practices. Document data pipelines, architecture, processes, and technical procedures. Collaborate with technical and business stakeholders to support data platform requirements. Contribute to continuous improvement of data engineering processes and infrastructure. Requirements & Qualifications Bachelor’s degree in Computer Science, Engineering , or a related field. Strong professional experience in data engineering, data platforms, or large-scale data systems. Advanced SQL skills. Strong programming experience in Python, Java, or Scala . Practical experience with Informatica Power Center or Intelligent Cloud Services . Experience with Airflow, Dagster, Prefect , or comparable workflow orchestration platforms. Strong understanding of Data Lake, Data Warehouse, and Lakehouse architecture . Experience with Terraform and Infrastructure-as-Code . Knowledge of data pipeline development, ETL/ELT, and data integration. Understanding of data quality, governance, security, and compliance. Strong analytical, problem-solving, documentation, and communication skills. Salary, Benefits & Career Growth The job posting does not specify a salary or compensation package. This role offers opportunities for career progression and professional development within enterprise data engineering and data platform environments. Professionals can expand their capabilities through technical training, data engineering certifications, cloud technologies, Infrastructure-as-Code, orchestration platforms, and advanced lakehouse and data architecture practices. #J-18808-Ljbffr