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Data Engineer (GCP)

Client of AIQU · Al Madina Al Munawarah

Posted Oct 21, 2026Source: naukrigulf
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Job description

About the Role: We are seeking an experienced Data Engineer with 5-7 years of hands-on experience to design, build, and maintain scalable data solutions on Google Cloud Platform. In this fully remote role, you will leverage GCP services, Python, SQL, and BigQuery to drive data-driven insights and ensure the performance, reliability, and security of our data infrastructure. Responsibilities: • Design, develop, and maintain ETL/ELT pipelines using GCP services • Implement and optimize data models and schemas in BigQuery • Write efficient SQL queries and Python scripts for data transformation and analysis • Collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data solutions • Monitor pipeline performance, troubleshoot issues, and ensure data quality and reliability • Document data workflows, architectures, and best practices • Implement data governance, security controls, and compliance standards • Mentor junior engineers and share technical knowledge across the team Preferred Qualifications: • Google Cloud Professional Data Engineer certification • Experience with Apache Airflow or other workflow orchestration tools • Familiarity with infrastructure as code (Terraform, Deployment Manager) • Knowledge of dbt or similar data transformation frameworks • Experience with real-time data streaming technologies (Pub/Sub, Dataflow Streaming) • Exposure to additional cloud platforms (AWS, Azure) Position Details • Position Title: Data Engineer (GCP) • Location: Remote, Saudi Arabia • Industry: Software Engineering • Experience Required: 5+ years Required Qualifications: • 5-7 years of professional experience in data engineering • Strong proficiency with Google Cloud Platform services, including BigQuery, Cloud Storage, and Dataflow • Expert-level SQL skills and experience optimizing complex queries • Advanced Python programming skills for data processing and automation • Proven experience designing and maintaining scalable ETL/ELT workflows • Solid understanding of data modeling, warehousing concepts, and best practices • Excellent problem-solving, communication, and collaboration skills

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