GCP Data Engineer: BigQuery, DBT & ETL Specialist

DataArt; Monterrey; On-site; MXN 480,000 - 720,000; Full time

Job summary

DataArt is seeking a Data Engineer with strong Google Cloud Platform experience to support data pipeline development, warehousing, and reporting. The role focuses on BigQuery, DBT, and Cloud Functions to deliver scalable, maintainable data solutions for seamless payment experiences across commerce scenarios.

You will build and optimize data pipelines, ensure data quality, and collaborate with stakeholders to translate business reporting needs into actionable insights, while continuously

Qualifications

• Proven experience building data pipelines and warehousing solutions.
• Strong SQL skills and performance tuning for large datasets.
• Experience with data governance and documentation practices.

Responsibilities

• Build, maintain, and optimize data pipelines using GCP components (BigQuery, DBT, Cloud Functions).
• Ensure reliable data flow from multiple sources into data warehouses and downstream systems.
• Design and implement data warehousing solutions on BigQuery.
• Develop and manage ETL processes to ingest, transform, and store data efficiently.
• Collaborate with stakeholders to translate reporting needs into actionable insights.
• Design scalable data models in BigQuery and optimize queries for cost efficiency.
• Automate data processing tasks using Cloud Scheduler and related tools.
• Maintain robust, scalable data pipelines and BI processes with monitoring and quality checks.
• Contribute to data governance, cataloging, and documentation.

Skills

Data modeling

SQL optimization

ETL development

Data governance

Tools

BigQuery

DBT

Cloud Functions

GCP

Cloud Scheduler

Job description

DataArt is seeking a Data Engineer with strong Google Cloud Platform experience to support data pipeline development, warehousing, and reporting. The role focuses on BigQuery, DBT, and Cloud Functions to deliver scalable, maintainable data solutions for seamless payment experiences across commerce scenarios.

You will build and optimize data pipelines, ensure data quality, and collaborate with stakeholders to translate business reporting needs into actionable insights, while continuously