Top Data Engineer Jobs in Czechia

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.

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

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.

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 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, you will develop and maintain data architecture, manage data workflows, and enhance automation processes while collaborating with stakeholders.

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

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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

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.

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

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

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

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

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

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

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.

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

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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