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.

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.

Seeking a Data Engineer skilled in data warehouse design to transform complex data models into scalable products, ensuring data reliability and managing stakeholder expectations.

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

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

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

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

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

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.

Develop and maintain high-quality C++ software for a connectivity framework, collaborating across teams on design and production.

As a Senior Python Data Engineer, you will develop data strategies, engineer file parsers, architect data models, create visualizations, and deliver robust data solutions for clients at 3Pillar Global.

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.

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.

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.

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

As a Senior Software Engineer, you will lead a team in building scalable Java-based applications, guiding technical strategy, and managing the software lifecycle while collaborating closely with product managers and other engineering teams.

The Full Stack Engineer will develop scalable web applications using Java and Spring for backend, and React for frontend, while participating in team collaboration and code reviews.

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.

The Head of Data/Solutions Engineer will oversee data architecture, support sales engineering, advocate in the data community, and ensure customer success.

The role involves leading the development of backend features for a Data Platform dealing with large-scale data ingestion and processing, ensuring stability, security, and quality of the codebase while mentoring team members.

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

Design, develop, and maintain data pipelines using Python and SQL. Collaborate with teams for analytics, build data models, manage orchestrations, and integrate diverse data sources.

Lead the design and implementation of ETL pipelines and data solutions on the Snowflake platform, optimizing performance and ensuring data quality and insights for business decision-making.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.