Engenheiro de Dados GCP Sênior

Jobgether SRL; Brasil; Teletrabalho; BRL 200 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote in Brazil

Seguro médico Porto Seguro

PLR

Auxílio alimentação

Home office allowance

Certificações apoiadas

Benefícios de bem-estar

Resumo da oferta

A Jobgether SRL seleciona Engenheiro de Dados Sênior para atuar no ecossistema de dados na GCP, desenhando, desenvolvendo e mantendo pipelines confiáveis. Você irá colaborar com clientes para traduzir requisitos em soluções robustas, com foco em qualidade e governança de dados.

O papel envolve liderança técnica, interação com equipes e stakeholders, e entrega de soluções escaláveis em um ambiente de seguros.

Qualificações

• Mínimo de 5 anos de experiência profissional em engenharia de dados.
• Forte domínio de SQL e modelagem de dados.
• Experiência prática com Google Cloud Platform (GCP).
• Experiência com Airflow para orquestrar pipelines de dados.
• Conhecimentos avançados de Python e lógica de programação.
• Controle de versão com Git e práticas de desenvolvimento.
• Experiência com governança de dados e desenvolvimento ETL/ELT.
• Experiência com Jira e documentação técnica em Confluence.
• Comunicação eficaz e capacidade de relacionamento com clientes e equipes.
• Perfil de liderança técnica e proatividade.

Responsabilidades

• Desenvolver, manter e melhorar pipelines ETL/ELT na GCP com práticas de engenharia de dados.
• Monitorar cargas, desempenho, qualidade e disponibilidade dos pipelines.
• Orquestrar workflows com Airflow e governar o ciclo de vida dos pipelines.
• Contribuir para decisões de arquitetura de dados, incluindo relacionamentos entre tabelas.
• Documentar pipelines, modelos de dados e processos com versionamento via Git e Confluence.
• Interagir com clientes para entender requisitos, escopo e prazos.
• Entender regras de negócio de sinistros de seguro automóvel ao desenhar soluções.
• Representar coordenação técnica em fóruns técnicos e de negócios.
• Compartilhar conhecimento técnico e apoiar o desenvolvimento da equipe.
• Liderar tecnicamente o time, apoiar a entrega e assegurar prazos e qualidade.

Conhecimentos

SQL

Python

Data modeling

Data governance

Analytical mindset

Technical leadership

Communication

Formação académica

Postgraduate studies in data-related fields

Google Cloud certification (preferred)

Ferramentas

GCP

Airflow

Git

Confluence

Excel

Jira

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 Engenheiro de Dados GCP Sênior based in Brazil.

This role offers the opportunity to act as a technical reference in data engineering for a large insurance environment. You will design, develop, and maintain reliable ETL/ELT pipelines within Google Cloud Platform, contributing directly to data quality, availability, and governance. The position combines hands-on engineering with technical leadership, architecture support, and close interaction with business and client stakeholders. You will work with technologies such as GCP, Airflow, Python, SQL, and Git while helping shape scalable and well-documented data solutions. A strong understanding of business requirements, particularly within the auto insurance claims domain, will be important for translating needs into effective data products. The role also provides opportunities to lead projects, share knowledge, and contribute to delivery quality across the team.

Accountabilities

• Develop, maintain, and continuously improve ETL/ELT data pipelines on Google Cloud Platform, applying sound data engineering practices.
• Monitor data loads, pipeline performance, data quality, reliability, and availability to ensure consistent and trustworthy data delivery.
• Orchestrate data workflows using Airflow and support the governance of data pipelines throughout their lifecycle.
• Contribute to technical data architecture decisions, including relationships between tables and analytical data structures.
• Document pipelines, data models, entity-relationship diagrams, and technical processes while maintaining code versioning through Git and documentation platforms such as Confluence.
• Work directly with clients to understand requirements, negotiate scope and timelines, and communicate technical considerations and delivery expectations.
• Understand and apply business rules related to auto insurance claims when designing and developing data solutions.
• Represent technical coordination in technical and business forums, helping align engineering decisions with business objectives.
• Share technical and business knowledge with team members and contribute to the development of the team's capabilities.
• Provide technical leadership within the team, support project execution, and help ensure deadlines, quality standards, and delivery commitments are met.

Requirements

• Minimum of 5 years of professional experience in data engineering.
• Strong experience with SQL, including analytical queries and data modeling.
• Proven hands-on experience with Google Cloud Platform (GCP).
• Experience using Airflow to orchestrate data pipelines.
• Advanced knowledge of Python and solid programming logic.
• Experience with Git and software development version-control practices.
• Strong proficiency with Excel.
• Experience with data pipeline governance, including ETL/ELT development and load monitoring.
• Experience producing technical documentation, including entity-relationship models, code documentation, Git versioning, and Confluence-based documentation.
• Experience working with Jira.
• Strong analytical mindset, curiosity about data, and willingness to understand business processes and domain requirements.
• Effective communication, active listening, assertiveness, and ease in building relationships with clients and team members.
• Technical leadership capabilities, with a proactive, responsible, collaborative, and ownership-oriented approach.
• Google Cloud certification is a plus.
• Knowledge of Oracle Cloud Infrastructure (OCI) is a plus.
• Previous experience in the insurance sector, particularly insurance claims, is an advantage.
• Postgraduate studies in data-related fields are a plus.
• Experience with additional data orchestration tools is desirable.

Benefits

• Full-time employment with a fully remote work model in Brazil.
• Porto Seguro medical insurance, with the possibility of including spouse and children.
• Porto Seguro dental insurance for employees and dependents.
• Profit Sharing and Results (PLR).
• Childcare assistance.
• Alelo meal and food allowance.
• Home office allowance.
• Partnerships with educational institutions offering discounts and learning opportunities.
• Support for professional certifications, including cloud certifications such as GCP, Azure, and AWS.
• Livelo points program.
• TotalPass fitness benefit for employees and family members.
• Mindself support focused on meditation, mindfulness, and quality of life.
• Opportunity to work with cloud data engineering, pipeline governance, orchestration, and technical leadership in a complex business environment.