Ai Data Engineer Mid/Senior

Jobgether SRL; Brasil; Presencial; BRL 180 000 - 260 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Seguro saúde

vale refeição

Auxílio creche

PLR e seguro de vida

Academia/CI&T University

Resumo da oferta

A Jobgether contrata AI Data Engineer Mid/Senior para atuar na interseção entre engenharia de dados e desenvolvimento orientado por IA. Você trabalhará com pipelines, lakehouse e modelos analíticos para alimentar decisões de negócio com IA integrada.

O papel envolve projetar arquiteturas robustas, governança de dados, qualidade e observabilidade, além de promover IA para acelerar codificação, testes e refatoração em um ambiente colaborativo de inovação.

Qualificações

• Experiência em SQL e manipulação de dados
• Engenharia de dados, data warehousing e lakehouse
• Databricks e Python para processamento de dados
• Governança e qualidade de dados
• Git e fluxos de controle de versão
• Práticas modernas de SDLC e engenharia de software
• Ferramentas de IA para geração de código, testes e refatoração
• Desenvolvimento orientado por especificação (spec‑driven)

Responsabilidades

• Desenvolver transformações de dados e modelos analíticos em plataformas modernas
• Construir arquiteturas de dados em camadas (Bronze/Silver/Gold)
• Traduzir requisitos de negócio em modelos de dados escaláveis
• Garantir qualidade de dados com testes e observabilidade
• Suportar conjuntos de dados para analytics, reporting e IA
• Operar em SDLC com IA para codificação e testes
• Desenhar especificações para IA‑driven development
• Construir agentes de IA com raciocínio multi‑passos e uso de ferramentas
• Promover governança, documentação e versionamento de dados

Conhecimentos

SQL

Databricks

Python

Data Warehousing

Lakehouse

Data Modeling

Data Governance

Git

SDLC

AI-assisted coding

AI agents

Ferramentas

CI/CD pipelines

APIs

Observability tools

Descrição da oferta de emprego

J

AI Data Engineer Mid/Senior

Empresa : Jobgether Tipo de Emprego : Periodo Integral Brazil

Descrição do Emprego - AI Data Engineer Mid/Senior

This role sits at the intersection of advanced data engineering and AI-native development, focusing on building reliable, scalable, and intelligent data products that power business decisions and AI-driven applications. You will work in a highly modern environment where AI is embedded directly into the software development lifecycle, not just as an add-on. The position involves designing and maintaining robust data architectures, implementing analytical models, and enabling trusted datasets for analytics and AI agents. You will contribute to end-to-end data workflows across lakehouse architectures while ensuring governance, quality, and observability. A key aspect of the role is leveraging AI to accelerate engineering tasks such as coding, testing, debugging, and refactoring. This is a collaborative and innovation-driven environment where data, AI, and software engineering converge to deliver real business impact.

Accountabilities:

• Develop data transformations and analytical models using modern data platforms such as Databricks, Azure Data Factory, Fabric, and Power BI
• Build and maintain layered data architectures (Bronze, Silver, Gold) and semantic models aligned with business needs
• Translate business requirements into scalable data models and define standardized corporate metrics
• Ensure data quality through testing frameworks, validation processes, and observability practices
• Support the creation of curated datasets for analytics, reporting, and AI agent consumption
• Operate within an AI-augmented SDLC, leveraging AI for coding, testing, debugging, and refactoring
• Design and maintain specifications that guide AI-driven development (spec-driven workflows)
• Build and orchestrate AI agents capable of multi-step reasoning, tool usage, and workflow execution
• Promote best practices in data modeling, governance, documentation, and version control

Requirements:

• Strong experience in advanced SQL and data manipulation
• Solid background in data engineering, data warehousing, and lakehouse architectures
• Hands‑on experience with Databricks and Python for data processing and engineering tasks
• Strong understanding of data modeling, governance, and data quality principles
• Experience with Git and collaborative version control workflows
• Knowledge of SDLC principles and modern software engineering practices
• Experience using AI tools for code generation, testing, debugging, and refactoring
• Familiarity with spec‑driven development and AI‑assisted engineering workflows
• Experience building or working with AI agents, multi‑step workflows, or tool‑using systems is a plus
• Knowledge of MCP (Model Context Protocol) or similar integration frameworks is a plus
• Experience integrating CI/CD pipelines, APIs, and observability tools is a plus
• Strong analytical thinking and ability to evaluate and validate AI‑generated outputs critically
• Ability to work in collaborative, fast‑paced, and innovation‑driven environments

Benefits:

• Health and dental insurance coverage
• Meal and food allowance (vale alimentação e refeição)
• Childcare assistance
• Extended parental leave policies
• Wellhub (Gympass) and TotalPass partnerships for health and fitness
• Profit sharing (PLR) program
• Life insurance coverage
• Continuous learning platform access (CI&T University)
• Discounts and partnerships with education and lifestyle platforms
• Online wellbeing platform supporting physical and mental health
• Language learning platforms and professional courses
• Additional wellness, development, and corporate benefits.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.