Senior Data Engineer

Cyber Tools and Solutions

Design and implement scalable data architectures and pipelines on GCP (BigQuery). Ensure data governance, quality, GA4 validation and provide technical guidance to Product, BI and Martech teams.

Posted 7/29/2026full-timeRemote • BrasilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable data architectures on Google Cloud Platform (GCP) and implementing data governance best practices. Proficient in building data pipelines, ensuring data quality, and collaborating with cross-functional teams to optimize digital data ecosystems.

Highest-signal resume keywords

Google Cloud Platform (GCP)BigQuerySQLPythonData Governance

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Hard Skills

Data ArchitectureData Pipeline DevelopmentData Quality AssuranceData TransformationData IngestionMedallion ArchitectureAutomated Data EngineeringData LineageTagging ValidationDigital Data Analysis

Soft Skills

Problem-SolvingCommunicationProactive ImprovementAutonomyCollaboration

Tools & Technologies

Google Analytics 4 (GA4)Dataform

Industry Keywords

Data GovernanceData QualityAgile MethodologiesDigital Data Ecosystem

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Design and evolve scalable data architectures on Google Cloud Platform (GCP).
Build and maintain data ingestion, transformation and serving pipelines.
Implement architectures based on the Medallion model (Bronze, Silver and Gold).
Ensure governance, data quality, performance and cost optimization in BigQuery environments.
Continuously evaluate opportunities for architectural improvement.
Work with data exported from Google Analytics 4 (GA4).
Validate events, parameters and the quality of digital data collection.
Perform troubleshooting and tagging validation.
Handle complex event structures in BigQuery.
Automate data engineering processes.
Develop internal tools to increase productivity.
Implement monitoring, automated validations and Data Engineering best practices.
Define naming standards, taxonomy and data quality rules.
Keep technical documentation up to date.
Ensure traceability (Data Lineage) and clear understanding of pipelines.
Promote governance best practices within the team.
Act as a technical reference for Product, BI and Martech teams.
Participate in agile ceremonies and support definition of data requirements.
Support technical decisions related to the digital data ecosystem.

Requirements

What you’ll need

Solid experience as a Senior Data Engineer.
Hands-on experience with Google Cloud Platform (GCP), BigQuery and Dataform.
Advanced knowledge of SQL and Python.
Experience building and maintaining data pipelines.
Knowledge of the Medallion architecture.
Experience with digital data, Google Analytics 4 (GA4) and tagging validation.
Experience in data governance and data quality.
Analytical profile with strong problem-solving skills.
Good communication with both technical and business teams.
Proactive in proposing improvements.
Ability to work autonomously.
Collaborative and consultative profile.

Benefits

Comp & perks

Life insurance
TotalPass
iFood benefit (free meals)