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.

The Data Engineer Intern will help design and maintain data pipelines, work with various data types, and support analytics and AI projects in a hands-on learning environment.

The role involves building and maintaining data architectures, ensuring data accuracy and accessibility, and collaborating on machine learning models.

The Data Engineer will build and maintain systems for data collection, storage, and analysis, ensuring data accuracy and security. Responsibilities include creating data pipelines, data warehouses, and collaborating with data scientists on machine learning models.

Support the development of a standardized data platform, maintain data pipelines, assist with testing and troubleshooting data integrations, and learn data flows in financial and HR systems.

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

Design, build, and optimize scalable Azure data pipelines and Lakehouse solutions using Azure Data Factory and Databricks. Integrate varied data sources, apply business logic, migrate legacy databases to cloud, and collaborate in Agile teams to deliver high-quality analytics-ready datasets.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

As a Data Engineer Manager, you'll lead a team in creating scalable data systems for trading strategies, ensuring high performance and reliability in data processing.

As a Data Engineer, you'll design, implement, and maintain data pipelines, collaborate with data teams, and optimize workflows to ensure data quality for trading initiatives.

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 Data Engineer will design, build, and maintain scalable data pipelines, develop ETL workflows using Python and SQL, and optimize data processes to ensure reliability and performance.

As a Data Engineer, you will build Python applications for data processing, contribute to platform improvements, and support internal users. You'll work with data lakes and ETL tools in an agile environment.

The Data Engineer designs big data architecture, optimizes machine learning models, collaborates on data projects, and builds data pipelines.

The Data Engineer will design data pipelines and architecture, optimize machine learning models, and collaborate on data projects for international brands.

The Senior Data Engineer will develop and maintain data architectures, ensuring data accuracy and security. They will collaborate on machine learning models and lead complex data processing initiatives.

The role involves designing and implementing data entitlement systems, managing complex data architectures, and collaborating with data scientists to automate data governance in a market data platform.

The role involves designing and implementing entitlement frameworks for data platforms, ensuring secure access to market data, and leading governance for a market data platform using automation and AI.

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.

The role involves managing data collection for AI model training, operating cloud infrastructure, and collaborating with the AI team to enhance datasets.

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 Big Data Engineer will develop and maintain Big Data systems, optimize data pipelines, and collaborate on data-driven projects. Responsibilities include managing terabytes of data and working with various distributed storage and messaging systems.

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.

As a Data Platform Engineer, you will design and implement scalable cloud-based data infrastructure, build CI/CD pipelines, and ensure platform reliability by implementing observability solutions, collaborating with teams to meet performance needs.