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.

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 operate data processing layers for Zeta's AdTech platform, focusing on streaming and batch data pipelines. Collaborate with multiple teams to support ML features and analytics systems.

Develop and maintain scalable data architecture and pipelines, ensuring data quality for analytics and business decision-making in collaboration with stakeholders.

The Data Engineer will focus on infrastructure automation, reliability, and cost optimization. Responsibilities include designing Infrastructure-as-Code, managing CI/CD pipelines, establishing observability standards, and collaborating with teams to improve platform resilience.

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

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 Data Engineer will design and implement big data architectures and pipelines, optimize machine learning models, collaborate with stakeholders, and automate data processing using cloud services and CI/CD tools.

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 Commercial Data Engineer, you will analyze commercial funnel data, manage data requests from sales teams, support analytics, and enhance automation using AI tools.

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.

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

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

Design, build, and optimize scalable Azure data pipelines and Lakehouse solutions using Azure Data Factory and Databricks. Integrate varied data sources, apply business logic, migrate legacy databases to cloud, and collaborate in Agile teams to deliver high-quality analytics-ready datasets.

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.

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.

Design, build, and own scalable data pipelines and an analytical data warehouse (e.g., Snowflake). Ensure data quality, monitor operational health, and partner with BI and ML teams to deliver reliable data solutions.

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.

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

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

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.

The Senior Data Engineer will design and implement scalable data solutions, optimize data processing, and collaborate with cross-functional teams to develop robust data pipelines.

As a Senior Data Engineer, you will design and develop data solutions, optimize ETL processes, and ensure best practices in data pipeline implementation.