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

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

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

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.

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.

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

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.

Design and implement commercial data models and pipelines. Collaborate with stakeholders to ensure data quality and insights. Focus on GTM performance and reporting.

We are seeking an AWS Developer to create a proactive security XDR solution, with experience in cloud solutions, Java, Python, and AWS services.

As a Data Solutions Engineer, you'll develop solutions, build data pipelines, present to customers, and communicate technical concepts effectively. You'll collaborate with teams to improve delivery processes and meet customer needs.

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.

The Senior Data Engineer will design, build, and support data capabilities, develop complex data pipelines, and advocate for engineering practices on cloud platforms like GCP.

Develop and maintain data pipelines, implement ETL processes, ensure data quality, and perform data modeling while mentoring junior engineers.

The role involves leading infrastructure design for distributed data services, managing data ingestion, and optimizing cloud operations. Responsibilities include performance tuning and lifecycle management of systems, adhering to GitOps principles, and ensuring observability and HA in Kubernetes.

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

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

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

As a Staff Data Engineer, design and implement large-scale data processing systems, build data pipelines, and architecture with a focus on scalability, performance, and security while collaborating across teams and mentoring juniors.