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.

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 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 Data Engineer at Aisle, you'll design and maintain data pipelines, ensure data quality, and collaborate across teams to support AI workflows and business insights.

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

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

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

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

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.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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

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.

The Data Engineer will design and maintain data sources, optimize ETL pipelines, implement automation for data reliability, and collaborate with different teams to meet data requirements.

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.

As a Staff Software Engineer, you will lead backend development for Data Ingest services, focusing on high-scale systems that process petabytes of data daily and ensuring code quality and technical documentation.

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

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

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

As a Senior Software Engineer, you'll develop and maintain high-quality, scalable features for our cloud-native data platform, focusing on data ingestion and processing. You'll lead technical discussions, optimize code, and collaborate with teams to enhance system reliability and performance.

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 Staff Infrastructure Engineer, you'll design and operate distributed data services, manage data infrastructure at scale, and ensure high availability, low latency across multiple clouds while optimizing performance and cost.