Top Data Engineer Jobs in Czechia

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 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.

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.

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

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

As a Senior Software Engineer, you will design, implement, scale, and maintain production systems, pushing technical limits and mentoring others.

Responsible for designing big data architecture pipelines, collaborating with stakeholders and teams, and optimizing machine learning models within cloud environments.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Design and develop scalable AI software solutions, ensuring high code quality and integration, while leading teams and driving innovation in a collaborative environment.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Lead the design and implementation of strategic data architecture, develop and maintain data pipelines, ensure data governance and quality, and mentor team members.

The Senior Data Engineer will build and maintain software solutions, design APIs, implement ETL pipelines, and collaborate with teams to enhance data analytics capabilities for clients.

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 Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

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.

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.

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.

As a Big Data Developer, design and improve software using various methodologies, focusing on high-quality solutions and collaboration across teams.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

The Big Data Engineer will develop an OpenXDR solution, managing streaming data from various security sources utilizing AWS and Big Data technologies.

Build and optimize data pipelines and models, monitor cloud data warehouses, and maintain documentation while collaborating with teams.