Data Engineer Sênior

Jobgether; Brasil; Teletrabalho; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal voucher

Food allowance

Home office allowance

Medical insurance

Dental insurance

Life insurance

Birthday day off

TotalPass membership

Wellhub access

Boon Saúde app access

Learning & development opportunities

Resumo da oferta

Jobgether, a partner company, is seeking a Senior Data Engineer to design and implement modern data pipelines in Brazil. You will work with Google Cloud services, Dataform, dbt, Airflow, and Python to transform data into reliable assets.

You will collaborate with cross-functional teams to ensure governance, quality, and scalable data solutions that drive business impact while embracing a culture of continuous learning and innovation.

Qualificações

• Strong professional experience in data engineering and building data pipelines.
• Hands-on experience with Google Cloud services (Dataflow, Dataproc, Cloud Run, Workflows, Scheduler).
• Solid experience with data transformation and modeling tools such as Dataform and dbt.
• Strong knowledge of Apache Airflow for workflow orchestration.

Responsabilidades

• Design and implement data pipelines that extract, process, standardize, store, and distribute data efficiently.
• Apply established data architecture and governance principles throughout the data engineering lifecycle.
• Develop and maintain data processing solutions using Google Cloud services such as Dataflow, Dataproc, Cloud Run, Google Workflows, and Google Scheduler.
• Build and maintain data transformation workflows using Dataform and dbt.
• Develop data engineering applications and automation using Python.
• Orchestrate data workflows and pipelines using Apache Airflow.
• Apply version control and collaborative development practices using Git.
• Support the automation and optimization of data processing and engineering workflows.
• Contribute to the reliability, scalability, maintainability, and quality of modern data solutions.
• Collaborate with technical teams to continuously improve data engineering practices and deliver solutions aligned with business needs.

Conhecimentos

Python

Data engineering

Cloud data processing

Ferramentas

Dataflow (GCP)

Dataproc

Cloud Run

Google Workflows

Google Scheduler

Dataform

dbt

Git

Airflow

Descrição da oferta de emprego

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer Sênior based in Brazil.

This role focuses on designing and implementing modern data engineering solutions that transform complex data into reliable, accessible, and valuable assets. You will build pipelines for extracting, processing, standardizing, storing, and distributing data according to established architecture and governance principles. The position combines hands-on development with cloud-based data processing, automation, and workflow orchestration. You will work extensively with the Google Cloud ecosystem and modern data transformation tools. Python, Airflow, Dataform, dbt, and Git will be part of your core technical toolkit. This is an opportunity to contribute to digital transformation initiatives while collaborating in an environment focused on technology, continuous learning, quality, and real-world business impact.

Accountabilities

• Design and implement data pipelines that extract, process, standardize, store, and distribute data efficiently.
• Apply established data architecture and governance principles throughout the data engineering lifecycle.
• Develop and maintain data processing solutions using Google Cloud services such as Dataflow, Dataproc, Cloud Run, Google Workflows, and Google Scheduler.
• Build and maintain data transformation workflows using Dataform and dbt.
• Develop data engineering applications and automation using Python.
• Orchestrate data workflows and pipelines using Apache Airflow.
• Apply version control and collaborative development practices using Git.
• Support the automation and optimization of data processing and engineering workflows.
• Contribute to the reliability, scalability, maintainability, and quality of modern data solutions.
• Collaborate with technical teams to continuously improve data engineering practices and deliver solutions aligned with business needs.

Requirements

• Strong professional experience in data engineering and building data pipelines.
• Hands-on experience with Google Cloud services, particularly Dataflow, Dataproc, Cloud Run, Google Workflows, and Google Scheduler.
• Solid experience with data transformation and modeling tools such as Dataform and dbt.
• Strong knowledge of Apache Airflow for workflow orchestration.
• Proficiency in Python for data engineering and automation.
• Experience using Git for version control and collaborative software development.
• Understanding of data architecture, governance, and engineering principles.
• Ability to work with modern cloud-based data processing environments and automation practices.
• Strong analytical and problem-solving skills with attention to data quality and reliability.
• Ability to collaborate effectively with technical teams and contribute to complex digital transformation initiatives.
• Proactive mindset, ownership, and commitment to continuous learning and technical improvement.

Benefits

• 100% remote work.
• Meal voucher.
• Food allowance.
• Home office allowance.
• Medical insurance.
• Dental insurance.
• Life insurance.
• Birthday day off.
• TotalPass / Wellhub membership.
• Access to the Boon Saúde app.
• Discounts and partnerships with businesses and educational institutions.
• Welcome kit.
• Structured onboarding program.
• Access to learning and professional development initiatives.
• Dedicated work-life balance and well-being initiatives.
• Opportunities to participate in knowledge-sharing and continuous learning activities.
• Collaborative environment focused on innovation, technology, and professional growth.