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EVT

Tech Lead – Data Engineering

EVT

Tech Lead for Data Engineering at EVT overseeing AI & Data project delivery. Requires solid Data Engineering experience and leadership skills in a remote setting.

Posted 7/30/2026contractRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering, focusing on building and evolving data platforms using Python, Azure, and modern cloud architectures. Proven ability to lead technical teams, ensuring data quality, governance, and the implementation of best practices in high-volume environments.

Highest-signal resume keywords
Data EngineeringPythonAzureDatabricksApache Airflow

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringPythonBatch PipelinesStreaming PipelinesCDC PipelinesData GovernanceData QualityObservabilityMedallion ArchitectureModern Cloud Data Architectures
Tools & Technologies
AzureDatabricksGoogle Cloud PlatformGoogle BigQueryGitLab CI/CDInfrastructure as CodeDataOpsMLOpsApache AirflowGoogle Composer
Industry Keywords
Energy & UtilitiesDigital TransformationData ProjectsHigh-Volume EnvironmentsLarge Organizations

Tech Stack

Tools & technologies
AirflowApacheAzureBigQueryCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact
  • Work on a strategic AI & Data project, technically leading a squad responsible for building and evolving the data platform.
  • Ensure the quality of deliveries, the adoption of best practices, and the continuous evolution of the data architecture.

Requirements

What you’ll need
  • Experience in Data Engineering.
  • Python.
  • Azure.
  • Databricks.
  • Google Cloud Platform (GCP).
  • Google BigQuery.
  • Apache Airflow (Google Composer).
  • Medallion Architecture.
  • Development of Batch, Streaming and CDC pipelines.
  • Modern cloud data architectures.
  • Data governance, data quality and observability.
  • Experience as a Tech Lead or Data Architect (preferred).
  • GitLab CI/CD (preferred).
  • Infrastructure as Code (IaC) (preferred).
  • DataOps (preferred).
  • MLOps (preferred).
  • Data Governance (preferred).
  • Experience with high-volume environments (preferred).
  • Experience in the Energy & Utilities sector (preferred).
  • Digital transformation and data projects (preferred).
  • Experience working in large organizations (preferred).

Benefits

Comp & perks
  • Learning incentive programs (Udemy).
  • Corporate English classes at affordable rates.