Top Data Engineer Jobs in Czechia

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

The Senior Data Engineer will analyze data integrity, design scalable services, collaborate with teams, optimize performance, and mentor others in an agile environment.

Build and maintain data pipelines, warehouses and lakes to ingest, model, validate and deliver market data feeds. Onboard and integrate vendor feeds, configure AWS storage, ensure data quality and security, collaborate with engineers and data scientists to deploy scalable analytics solutions and support machine learning models.

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

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Senior Software Engineer II will design, implement, scale, and maintain code for production systems, pushing technical limits and enhancing the Cint platform for data solutions and measurement.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Design and implement core YTsaurus functionality in C++, build and evolve platform-level capabilities, improve APIs and UX for internal users, own production quality including incident response/on-call, and collaborate with stakeholders to prioritize and deliver scalable data platform features.

The Full-Stack Developer will build scalable frontend components using Angular, develop RESTful APIs with Java Spring Boot, integrate third-party APIs, and collaborate with other teams to deliver complete features.

The Senior Data Engineer will design and implement robust data solutions, develop scalable ETL processes, optimize data storage, and ensure best practices in CI/CD while collaborating with cross-functional teams.

Design and develop data solutions, focusing on architecture, ETL processes, data storage optimization, and collaboration across teams.

Join Datacraft to design and build DWH data platforms, pipelines, and data models (BigQuery, Snowflake, Databricks). Implement batch and streaming ingestion, maintain orchestration (Airflow), support Loomi Analytics agent data layer, and co-build DWH-backed dashboards and semantic layers to enable analytics and agentic workflows.

Design, build, and maintain data pipelines and warehouses; deploy Data Science models to production; automate data collection, monitoring, and model retraining; collaborate with analysts and engineers to ensure data quality and availability.

Lead design and build of scalable data pipelines and infrastructure, optimize performance, ensure data quality/security, integrate new sources, collaborate with data scientists, mentor junior engineers, and drive architecture and tooling decisions.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Build, deploy, and maintain infrastructure, CI/CD pipelines, and automation for Data Science and ML workloads; ensure security best practices, monitoring, disaster recovery, and documentation while collaborating with data scientists and engineers.

Design and implement data integration procedures, optimize data products, ensure data quality, and monitor data analytics systems.

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.

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 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.

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.