Top Data Engineer Jobs in Czechia

The role involves managing data collection for AI model training, operating cloud infrastructure, and collaborating with the AI team to enhance datasets.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Big Data Engineer will develop and maintain Big Data systems, optimize data pipelines, and collaborate on data-driven projects. Responsibilities include managing terabytes of data and working with various distributed storage and messaging systems.

As a Senior Site Reliability Engineer, you will maintain a stable ecosystem for engineers in GCP, Kubernetes, and enhance observability while enforcing security measures. You'll automate processes, provide L3 support, and contribute to tool development.

As a Data Platform Engineer, you will design and implement scalable cloud-based data infrastructure, build CI/CD pipelines, and ensure platform reliability by implementing observability solutions, collaborating with teams to meet performance needs.

Looking for a Software Engineer with 3-4 years of C++ experience to develop high-quality software, collaborate with teams, and participate in the full software development lifecycle.

Develop and enhance ML models for search and recommendation; work with data engineers on ML components for production; research ML techniques.

The Senior Data Engineer is responsible for designing and maintaining software and data solutions, focusing on SQL-based data processing and ETL pipelines, ensuring data quality and meeting compliance standards.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Data Engineer will design and maintain data pipelines, optimize ETL processes, ensure data quality, and collaborate in an agile environment.

Lead complex analytical projects, design and maintain data pipelines, collaborate with stakeholders, mentor team members, and communicate insights effectively.

The role involves designing and implementing Azure lakehouse architecture, building data pipelines, ensuring data quality and governance, and collaborating with stakeholders on scalable data solutions.

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.