Top Data Engineer Jobs in Prague

As a Data Engineer, you will develop data solutions for global banks, modernizing data processes and designing architectures while leading sub-projects.

The Data Engineer will design and build data architecture pipelines, optimize ML models, support data infrastructures, and collaborate with stakeholders and BI consultants.

The role includes designing data pipelines, supporting data infrastructure needs, optimizing machine learning models, and collaborating on complex data projects.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Data Engineer, you'll develop and maintain data platform architecture, manage data workflows, and enhance automation processes while collaborating with stakeholders.

The Data Engineer will develop and maintain the data platform architecture, manage data workflows, and collaborate with stakeholders to enhance data products.

The Data Engineer will design, develop, and maintain data pipelines, ensure data quality, and provide mentorship all within an Agile environment.

As a Medior Data Engineer, you will design and maintain data pipelines, collaborate with stakeholders for data insights, and optimize data flow in a cloud environment using various technologies including Python, SQL, and Azure services.

The role involves developing innovative Data & Analytics products, enhancing existing solutions, and creating Tableau dashboards while ensuring data integrity and compliance in collaboration with finance stakeholders.

As a Senior Software Engineer, you'll lead data-driven initiatives, develop ML algorithms, and collaborate with cross-functional teams to optimize pricing solutions.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Data Engineer will design and maintain data sources, optimize ETL pipelines, implement automation for data reliability, and collaborate with different teams to meet data requirements.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

As a Data Engineer at Aisle, you'll design and maintain data pipelines, ensure data quality, and collaborate across teams to support AI workflows and business insights.

The DevOps Engineer will ensure the reliability and performance of applications on Azure, using IaC principles and automation tools for deployment workflows and system monitoring.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Software Engineer will support data collection for model training, manage cloud infrastructure for ingestion pipelines, and collaborate with AI scientists to enhance data quality and scalability.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Java Software Engineer on the Data Observability Team, you'll build scalable Java applications, engage in code reviews, and contribute to cloud-native solutions. You'll work collaboratively to improve software quality and user experience while implementing DevOps practices.

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.