DATAPAO is a Cloud, Data Engineering, and Data Science services company covering the entire Data and Cloud Transformation journey from enablement through architecture to implementation. Datapao delivers large-scale data processing, analytical, and production machine learning solutions globally to achieve substantial improvements in clients' business performance through data. We have special competence in innovative technologies like Databricks, Microsoft Azure, Amazon Web Services (AWS), and industry-specific use-cases in Manufacturing, Pharmaceuticals, Agriculture, Livestock, and Digital Products.

Get in touch via hello@datapao.com

Manufacturing

DATAPAO

DATAPAO's headquarters in Budapest, Hungary

The London office focuses on talent acquisition, specializing in recruiting top technical professionals for diverse projects.

London

This department focuses on building and maintaining the systems and infrastructure for data processing and analysis.

Data Engineering

The Data Engineering and Science Team at DATAPAO specializes in designing, implementing, and optimizing large-scale data processing and analytical solutions. They leverage cutting-edge technologies such as Databricks, Microsoft Azure, and AWS to build robust data architectures, develop machine learning models, and provide technical training. With expertise across various industries, the team ensures high-quality data-driven solutions to enhance clients' business performance.

Data Engineering and Science Team

This department focuses on the development and implementation of advanced data analytics and engineering solutions.

Data Science and Engineering

This department oversees engineering functions, ensuring projects are effectively managed and aligned with organizational goals.

Engineering Management

This department manages marketing strategies, operations, and campaigns to promote the company's products and services.

Marketing Department

This department oversees the planning, execution, and delivery of projects while ensuring alignment with organizational goals.

People (4)

Jobs (0)

Other teams

Data Engineering and Science Team

Data Science and Engineering

Engineering Management

Marketing Department

Project Management