Gcp / Bigquery Data Engineer

Casado; Brasília; Remote; BRL 421,000 - 631,000; Full time

Job summary

Algoworks is seeking a GCP / Big Query Data Engineer for LATAM remote engagement. The contract role requires 6+ years of data engineering experience and hands-on expertise with GCP, BigQuery, ETL/ELT, and data warehousing.

You will design and implement data warehouse solutions, develop data ingestion pipelines, model data for reporting, and support BI efforts with Power BI. US business hours apply.

Qualifications

• Minimum 6+ years of data engineering experience.
• Hands-on experience with GCP and Big Query.
• Experience designing data warehouses and ETL/ELT pipelines.
• Proficient in SQL and data modeling.
• Good English communication.

Responsibilities

• Design and implement data warehouse solutions using Big Query.
• 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.

Skills

GCP

Big Query

SQL

Power BI

Data modeling

Data ingestion

ETL/ELT

English communication

Tools

Power BI

Big Query

Job description

Role: GCP / Big Query Data EngineerLocation 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 VenezuelaPlease 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+ yearsDuration: Minimum 6 monthsExperience: 6+ yearsDuration: Minimum 6 monthsAlgoworks In:(99+) Algoworks: Overview | Linked InAbout the companyAlgoworks 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 / Big Query Data Engineer

Algoworks is looking for a Data Engineer / Data Warehouse Engineer with strong hands-on experience in GCP and Big Query.

Location: Latin America (Remote)Duration: Minimum 6 monthsType: ContractSchedule: US Business Hours

Key Responsibilities

• Design and implement data warehouse solutions using Big Query
• 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 Big Query
• 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