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.

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 and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The role includes designing data pipelines, supporting data infrastructure needs, optimizing machine learning models, and collaborating on complex data 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, develop, and maintain data pipelines, ensure data quality, and provide mentorship all within an Agile environment.

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

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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 Data Engineer will design and build data architecture pipelines, optimize ML models, support data infrastructures, and collaborate with stakeholders and BI consultants.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

The Data Engineer will design and maintain ETL pipelines, optimize data models, develop exporters, and ensure reliable data services for the Lambda app in a fast-paced startup environment.

As a Medior Data Engineer, you will design and maintain data pipelines, collaborate with stakeholders for data insights, and optimize data flow in a cloud environment using various technologies including Python, SQL, and Azure services.

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.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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

The System Engineer will develop software tools in Matlab and C/C++, analyze production data, support End-of-Line processes, and ensure reliable performance of sensor systems.

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

Responsible for designing big data architecture pipelines, collaborating with stakeholders and teams, and optimizing machine learning models within cloud environments.

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.