Data Scientist Talent Pool | Banco de Talentos - Cientista de Dados

Embedded Shishya; Deutschland; Remote; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Dadosfera is seeking passionate Data Scientists to build scalable solutions, work with large data volumes, and contribute to strategic projects involving Data Platforms, Cloud, and AI.

The role emphasizes strong analytical skills, autonomy, and a hands-on approach to data engineering best practices within a dynamic, collaborative environment.

Qualifikationen

• Degree in STEM field or equivalent experience.
• Experience with SQL and Python for data ingestion, transformation, and analysis.
• Experience with Linux environments and cloud platforms.
• Knowledge of data orchestration tools (Airflow, NiFi) and CDC solutions (Debezium, DMS).
• Experience with Kubernetes and Apache Spark.
• Ability to develop and consume APIs, as well as create scripts and automations.
• Strong organization and prioritization skills to handle multiple demands.

Kenntnisse

Data science

Data analysis

SQL

Python

Cloud platforms

Kubernetes

Apache Spark

APIs

Ausbildung

Degree in STEM field or equivalent

Tools

Airflow

NiFi

Debezium

DMS

Linux

Kubernetes

Apache Spark

Jobbeschreibung

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

At Dadosfera, we are constantly looking for Data Scientists who want to build scalable solutions, work with large volumes of data, and contribute to strategic projects involving Data Platforms, Cloud, and AI.

What We Expect from You

• Are passionate about data, technology, and solving complex problems;


• Enjoy working in dynamic, collaborative, and high-learning environments;


• Have a strong sense of responsibility, autonomy, and an ownership mindset;


• Value engineering best practices and continuous improvement.

Technical Requirements (may vary depending on the role)

• Degree in a STEM field or equivalent professional experience;


• Experience with SQL and Python for data ingestion, transformation, and analysis;


• Experience with Linux environments and cloud platforms;


• Knowledge of data orchestration tools (Airflow, NiFi) and CDC solutions (Debezium, DMS);


• Experience with Kubernetes and Apache Spark;


• Ability to develop and consume APIs, as well as create scripts and automations;


• Strong organization and prioritization skills to handle multiple demands effectively.

Preferred Qualifications

• Experience with modern data architectures;


• Experience in platform migration or modernization projects;


• Knowledge of DataOps, MLOps, or AI-driven solutions;


• Experience with BI tools or Data Apps;


• Intermediate or advanced English proficiency.

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.