Top Data Engineer Jobs in Czechia

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

As a Data Engineer, you will develop data solutions, optimize processes, design data architectures, and lead small project teams for banking clients.

As a Data Engineer, you'll engage in the Software Development Life Cycle, integrating data storage, developing solutions, and ensuring code quality while collaborating with a diverse team.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Data Engineer will write maintainable code, implement data solutions, support production services, and enhance automated data pipelines within a collaborative team.

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 Enverus, you will solve complex data engineering problems, develop production-ready code, and work with various data storage systems while collaborating with a diverse team.

Design and maintain data architectures, build data pipelines, and communicate with stakeholders to enhance data reliability and quality.

The Senior Data Engineer will implement and enhance data applications, engage in all stages of the SDLC, and mentor junior team members, focusing on data transformations and optimization.

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 Senior Data Engineer, you'll solve complex data challenges, develop maintainable code, and collaborate on innovative solutions for energy analytics.

The Senior Data Engineer will develop data pipelines, implement scalable solutions, and lead projects while mentoring junior engineers and ensuring data quality.

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

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

As a Data Engineer, you'll build and maintain data systems and pipelines for data processing and analysis, ensuring data accuracy and security. You'll collaborate with data scientists and lead a team in developing solutions for credit risk management.

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 Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

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

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Data Engineer will design and develop data solutions, optimize ETL processes, collaborate on architecture, and ensure CI/CD practices.

The Data Engineer will build scalable data pipelines, support AI initiatives, democratize data access, and collaborate with teams to implement data-driven solutions.

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

The Data Engineer will design, develop, and maintain data solutions, optimize data processes, and collaborate with teams to implement best practices.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.