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Leega
Leega
201 – 500 Employees
APIConsultingMarketing
Leega is a Latin American technology consulting company focused on data analytics, cloud solutions, and digital transformation. Its services include application development, machine learning, risk management analytics, and support for organizations modernizing their data environments. Leega works with Google Cloud, AWS, and Microsoft Azure, helping businesses improve data management and adopt cloud technologies. The company also identifies as the first organization in the region certified by Google Cloud for Data Analytics.
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Senior Analytics Engineer (dbt and GCP) – Remote

Senior Analytics Engineer supporting a financial institution by building reliable data pipelines, transformation models, and dashboards. The role uses Google Cloud, dbt, BigQuery, Airflow, Looker, SQL, and Python.

BRBrazilRemoteContractSeniorPortuguese RequiredAnalytics Engineer
AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

Description

  • Build the data transformation and consumption layer for a financial institution in Google Cloud.
  • Move data from source systems to dashboards while balancing quality, performance, and cost.
  • Create, test, and document transformation models with dbt.
  • Write and optimize SQL queries and design dimensional and relational models in BigQuery.
  • Track BigQuery performance and improve processing efficiency and cost control.
  • Build, maintain, and orchestrate data pipelines with Airflow.
  • Create Looker dashboards and semantic models for data consumption.
  • Work with business stakeholders to clarify needs and turn them into data solutions.
  • Investigate root causes and recommend solutions informed by data.
  • Document and tag data assets in support of sound governance practices.
  • Automate workflows and conduct exploratory analysis using Python.

Requirements

  • Substantial experience as an Analytics Engineer, BI Engineer, or in a comparable position.
  • Advanced SQL capability, including query tuning and dimensional and relational data modeling.
  • Advanced dbt experience developing, testing, and documenting transformation pipelines.
  • Hands-on experience building, maintaining, and orchestrating complex Airflow pipelines.
  • Deep BigQuery knowledge, including performance tuning, cost management, and advanced platform capabilities.
  • Familiarity with additional GCP data services, including Google Cloud Storage.
  • Proficiency creating dashboards with the Looker Platform.
  • Working knowledge of Python for automation, custom pipelines, or exploratory analysis.
  • Familiarity with product metrics such as AARRR, marketing metrics such as LTV and CAC, or financial metrics.
  • Experience applying data governance practices, including asset documentation and tagging.
  • A consultative working style and confidence collaborating with non-technical stakeholders.
  • Ability to convert business requirements into practical data solutions.
  • Strong analytical and critical-thinking skills, particularly in diagnosing underlying problems.
  • Well-developed documentation and organizational skills for managing deliverables.
  • Ability to work independently in a fully remote environment.
  • Practical expertise with dbt, BigQuery, Airflow, and the Looker Platform.

Benefits

  • Continued opportunities for professional growth.
  • Fully remote, work-from-home arrangement.
  • Collaborative and fast-moving work environment.
  • Applications welcomed from people with disabilities.

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