GCP / BigQuery Data Engineer

Casado; Brazil; Remote; BRL 120,000 - 180,000; Full time

Job summary

Algoworks is seeking a GCP/BigQuery Data Engineer for a LATAM remote role. You will design data warehouses on BigQuery, build ETL/ELT pipelines, and integrate data across sources, with a focus on Power BI reporting.

The contract lasts at least 6 months, requires 6+ years experience, and calls for strong SQL and English communication. US business hours availability is requested.

Qualifications

• Strong hands-on experience with GCP and BigQuery.
• Experience building data warehouses and models.
• Proficient ETL/ELT pipeline development.
• Ingest and integrate data from multiple sources.
• Reporting with BI tools such as Power BI.
• Strong SQL and data modeling skills.
• Good English communication.

Responsibilities

• Design and implement BigQuery data warehouse solutions.
• Develop ETL/ELT pipelines and data ingestion processes.
• Integrate data across multiple source systems.
• Develop data models for reporting and analytics.
• Support reporting including key analytics metrics.
• Collaborate with Power BI as the reporting layer.

Skills

GCP

BigQuery

Data Warehouse Architecture

ETL Pipelines

Data Ingestion

Data Modeling

Power BI

SQL

English Communication

Job description

Role: GCP / BigQuery Data Engineer

Location Requirement: Candidates must be currently located in Latin America (LATAM). Eligible Countries: Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, and Venezuela. Please note: This opportunity is open to candidates currently residing in the above Latin American countries. Candidates must be available to work during US business hours. Experience: 6+ years. Duration: Minimum 6 months.

About the company

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results. For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement. At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized. Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.

Hiring: GCP / BigQuery Data Engineer

Algoworks is looking for a Data Engineer / Data Warehouse Engineer with strong hands-on experience in GCP and BigQuery. Location: Latin America (Remote). Duration: Minimum 6 months. Type: Contract. Schedule: US Business Hours.

Key Responsibilities

• Design and implement data warehouse solutions using BigQuery
• Develop ETL/ELT pipelines and data ingestion processes
• Integrate data across multiple source systems
• Develop data models for reporting and analytics
• Support reporting requirements including Subscriber Activation, Churn, FTE, and future analytics
• Work with Power BI as the reporting layer

Required Skills

• Strong hands-on GCP
• Strong hands-on BigQuery
• Data Warehouse Architecture, Design & Implementation
• ETL / ELT Data Pipeline Development
• Data Ingestion & Integration
• Data Modeling
• Power BI / BI Reporting Tools
• Strong SQL
• Good English communication