Data Engineer (GCP)
A fully remote Data Engineer role (via AIQU's client in Saudi Arabia) designing, building, and maintaining scalable ETL/ELT pipelines and data models on Google Cloud Platform, using BigQuery, SQL, and Python to ensure data quality, performance, and security.
- Compensation
- Not disclosed
- Location
- Saudi Arabia
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Nice to have
- 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)
Full 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 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