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

The Data Engineer will develop and maintain data pipelines, implement data transformation models, and enhance the data platform, collaborating with various 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.

As a Data Engineer, you will build and maintain data pipelines, transform data for analysis, collaborate with stakeholders, and contribute to data architecture while ensuring high data quality.

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.

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

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.

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

Looking for a Software Engineer with 3-4 years of C++ experience to develop high-quality software, collaborate with teams, and participate in the full software development lifecycle.

Develop and enhance ML models for search and recommendation; work with data engineers on ML components for production; research ML techniques.

The Senior Data Engineer is responsible for designing and maintaining software and data solutions, focusing on SQL-based data processing and ETL pipelines, ensuring data quality and meeting compliance standards.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

The Senior Data Engineer will design and build data pipelines, structure data, implement event tracking, and ensure data quality for a no-code platform.

As a Big Data Engineer, you will design and implement data processing systems, manage technologies like Hadoop and Spark, and build ETL processes to ensure data quality and performance.

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.

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.