Data Engineer

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🕒 Novembro 13, 2025

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Fractal River

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤝 B2B

🤖 Inteligência Artificial

☁️ SaaS

B2B • Artificial Intelligence • SaaS

A Fractal River é uma empresa que fornece soluções escaláveis para acelerar o crescimento de startups. Eles se concentram em construir operações de receita e de clientes escaláveis, bem como em aprimorar as capacidades de dados e de IA/analítica. A Fractal River oferece soluções como Interfaces Conversacionais e Analítica, aproveitando a IA e Modelos de Linguagem de Grande Porte para desbloquear insights de dados não estruturados e possibilitar inteligência empresarial de autoatendimento. Eles também fornecem Análise Incorporada para relatórios personalizados e envolvimento de clientes, otimizam a jornada do cliente com processos de integração eficientes e implantam pipelines robustos de ingestão de dados para ofertas SaaS. Além disso, eles se concentram na gestão de relacionamento com o cliente para melhorar a saúde do cliente e reduzir o churn. A Fractal River faz parceria com startups para implantar a tecnologia certa e desenvolver processos para aprimorar as capacidades de negócios.

Descrição

• Help design and implement data pipelines and analytic infrastructures with the latest technologies. • Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities. • Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery. • Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities. • Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms. • Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers’ infrastructures into cohesive platforms that power their growth. • Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect. • Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers. • Develop technical documentation and best practices for our customers. • Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes. • Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve. • Coordinate projects, activities, and tasks to ensure objectives and key results are met. • Identify opportunities, generate innovative solutions, and improve existing product features.

🎯 Requisitos

• Our ideal candidate is someone with 1-5 years of working experience in fast-paced environments, a high tolerance for ambiguity, and a passion for constant learning. • Comfortable with Python and SQL fundamentals, but more importantly, you know when and how to leverage AI tools to accelerate your work while maintaining quality and understanding. • Eager to leverage AI tools (ChatGPT, Claude, Gemini, etc.) to fuel creativity and problem-solving—not to replace your deliverables, but to expand your thinking and improve them. • Collaborative and communicative, able to work with customers and team members effectively. • Adaptable: Thrives in environments with constant iteration and welcomes creative solutions to challenging problems. • Process-minded: Capable of developing and improving best practices in data, DevOps, and AI-assisted workflows. • Detail-oriented: You have strong attention to detail and care about the quality of your work. • English Language Requirements: CEFR level C1 (Advanced) means you can: • Understand a wide range of demanding, longer texts and recognize implicit meaning • Express yourself fluently and spontaneously without much obvious searching for expressions • Use language flexibly and effectively for social, academic, and professional purposes • Produce clear, well-structured, detailed text on complex subjects • Nice-to-have's (not required): • Familiarity with data warehouses like Snowflake, Redshift, or BigQuery • Experience with data modeling, data governance, and creating complex visualizations • Experience with BI tools such as Looker, Sigma, or Power BI • AWS/GCP/Azure services knowledge • Experience with development tools such as Terraform, Docker, CircleCI, and dbt • Certifications (AWS, Google Professional Data Engineer, etc.) • Knowledge of Google Analytics, Salesforce, HubSpot, and/or Zendesk • Comfort working in non-hierarchical, diverse work environments • Bachelor’s degree in computer science or similar field

🏖️ Benefícios

• Personal development plan with an accelerated career track. • Access to an extensive reference library of books, case studies, and best practices. • Unlimited access to AI tools (ChatGPT, Claude, Gemini, etc.) • Unlimited budget for work-related books. • Online training (Udemy, nanodegrees, etc.), English language training. • Stretch assignments, pair programming, and code reviews with new technologies. • Yearly performance bonus based on personal performance. • Yearly success bonus based on company performance. • Home office setup including fast internet, large monitor, and your favorite keyboard and mouse. • After a few months, gaming chair, espresso maker, standing desk, and speakers (or other items like these). • Monthly wellness budget to cover items such as sodas, tea, snacks, pet care, yoga, or other wellness-related items. • Company card for wellness budget and company expenses. • Three floating holidays and unlimited (but reasonable) PTO starting the first year. • Fun company off-sites!