Senior Analytics Engineer, DBT, GCP

Leega

. Work for a financial institution, building the data transformation and consumption layer in a Google Cloud environment .

Posted 10/2/2026contractRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in SQL, DBT, BigQuery, and Airflow to build and optimize data transformation pipelines and dashboards. Engages effectively with stakeholders to translate business needs into actionable data solutions while adhering to data governance best practices.

Highest-signal resume keywords

Advanced SQL ExpertiseDBT ProficiencyBigQuery Performance OptimizationAirflow Pipeline OrchestrationLooker Platform Dashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDBTBigQueryAirflowLooker PlatformPythonData TransformationData GovernanceDimensional ModelingRelational Modeling

Soft Skills

Analytical SkillsCritical ThinkingConsultative ApproachOrganizational SkillsCommunication Skills

Tools & Technologies

Google Cloud PlatformGoogle Cloud StorageData PipelinesData DashboardsData Models

Industry Keywords

Financial InstitutionData SolutionsPerformance ManagementCost ControlRoot-Cause Analysis

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Work for a financial institution, building the data transformation and consumption layer in a Google Cloud environment
Take data from source to dashboard, ensuring quality, performance, and cost control
Build, test, and document data transformation models using DBT
Develop and optimize SQL queries and dimensional and relational models in BigQuery
Monitor and optimize BigQuery processing performance and costs
Build, maintain, and orchestrate data pipelines in Airflow
Develop dashboards and semantic models in Looker Platform
Gather requirements from business stakeholders and translate them into data solutions
Conduct root-cause analyses and propose insight-driven solutions
Document and tag data assets, promoting data governance best practices
Automate tasks and perform exploratory analyses with Python

Requirements

What you’ll need

Solid experience as an Analytics Engineer, BI Engineer, or in a similar role
Advanced SQL expertise, including query optimization and dimensional and relational modeling
Advanced experience with DBT for building, testing, and documenting transformation pipelines
Experience with Airflow in building, maintaining, and orchestrating complex pipelines
In-depth knowledge of BigQuery, including performance optimization, cost management, and advanced platform features
Familiarity with other GCP data services, such as Google Cloud Storage
Proficiency in developing dashboards on Looker Platform
Knowledge of Python for automation, custom pipelines, and/or exploratory analyses
Familiarity with product metrics (AARRR), marketing metrics (LTV, CAC), or financial metrics
Experience with data governance practices, such as documenting and tagging assets
Consultative approach, with the ability to engage effectively with non-technical stakeholders
Ability to translate business needs into data solutions
Analytical and critical-thinking skills, with a focus on identifying the root causes of problems
Strong documentation and organizational skills in managing deliverables
Ability to work independently in a 100% remote environment
Required expertise and hands-on experience with DBT, BigQuery, Airflow, and Looker Platform

Benefits

Comp & perks

Ongoing professional development
100% remote work / work from home
Dynamic and collaborative environment
Open to applicants with disabilities