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 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.

Design and implement AI projects, balance technical complexity with business impact, and collaborate with stakeholders to deliver value using AI and data.

The Data Engineer will build and maintain data pipelines, develop a scalable Data Lake on AWS, and collaborate with cross-functional teams to enhance data solutions.

The Data Engineer will design and implement data pipelines and architectures, support machine learning model deployment, and engage in data management and optimization strategies for big data environments.

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.

The Data Engineer will develop and maintain the data platform architecture, manage data workflows, and collaborate with stakeholders to enhance data products.

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

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

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 Senior Python Data Engineer will develop strategies for acquiring research data, engineer custom parsers, architect data models, and create visualizations. Responsibilities include comparative data analysis and delivering creative solutions using data.

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

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

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

You will design and manage data structures, build scalable data pipelines, ensure data integrity, and collaborate with various teams to address data needs.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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 Senior Data Engineer will develop and manage data ingestion, ensure data quality, collaborate with ML engineers, and maintain scalable data pipelines.

As a Data Analytics Engineer, you will manage the backend of the analytics stack, build data pipelines, and create models and dashboards to drive product and business decisions.

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

The role involves designing and developing data solutions, ETL processes, optimizing data storage, and collaborating with teams to implement scalable data pipelines.

Design and develop robust data solutions, optimize data storage, develop ETL processes, and collaborate with teams for high-quality deliveries.