Company Overview

Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.

Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.

What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.

About the Job

Dadosfera, a leader in Data & AI platform solutions, is seeking top Engineering talent to join our team. You will be part of an elite group working on Data & Analytics projects with some of the largest startups and corporations in the country.

This role is ideal for individuals who are passionate about data and thrive in an environment of continuous learning, autonomy, and cutting-edge technologies. It is a unique opportunity to learn from industry leaders, work with real-world Big Data, and grow alongside a fast-scaling company, including the potential for stock options participation.

Responsibilities.

• Technically lead the evolution of Unifique’s data platform.
• Define architectural standards for data ingestion, transformation, cataloging, and consumption.
• Design scalable solutions using Airflow, Spark, Kubernetes, and ClickHouse.
• Lead the implementation of the future data catalog and governance strategy.
• Act as a technical reference for other Data Engineers and Analytics Engineers.
• Support the adoption of AI agents to automate data engineering activities.
• Identify opportunities to improve platform performance, reliability, and operational costs.
• Collaborate with DevOps and AI Engineering teams to evolve data infrastructure.
• Participate in decisions related to Self-Service Analytics and Data Products architecture.

Minimum Qualifications

• 5+ years of relevant professional experience
• Bachelor’s degree in a STEM field (Data Science, Statistics, Mathematics) or equivalent certification
• Advanced experience with Apache Spark.
• Advanced experience with Apache Airflow.
• Deep knowledge of data modeling, Data Warehousing, and analytical architecture.
• Experience with Kubernetes and Docker environments.
• Strong proficiency in SQL and Python.
• Experience designing scalable data architectures.
• Experience with data pipeline observability, monitoring, and reliability practices.
• Experience working in complex and cross-functional corporate environments.

Preferred Qualifications

• 7+ years of relevant professional experience.
• Experience with BI tools (e.g., Tableau, Power BI, QlikView).
• Strong SQL performance optimization skills and experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation).
• Knowledge of multiple database technologies, including distributed processing, NoSQL, and MPP systems.
• Experience working in technology startups, with a flexible and adaptable mindset.

At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination.

Do you share our values? Then don’t wait—apply today!