Top Data Engineer Jobs in Czechia

As a Data Engineer, you will maintain and enhance the ALFRED Finance & Risk Data Platform, contributing to data onboarding, issue resolution, and Agile team efforts.

Responsible for evolving the self-service data platform, managing data flow, and collaborating with cross-functional teams to enhance data products.

Design and maintain data platform infrastructure, manage resources, optimize systems, monitor performance, and automate processes for scalability.

Responsible for designing, building, and maintaining data pipelines on the Azure ESG Central Data Platform, focusing on ESG metrics and collaboration with various stakeholders.

The role involves designing and maintaining scalable data models, managing Snowflake environments, and promoting data governance while providing technical assistance to the application team.

As a Principal Data Engineer, you will architect and maintain data pipelines using AWS services and collaborate with cross-functional teams to optimize data infrastructure for business insights.

As a Data Engineer, you will design and manage data pipelines, optimize cloud infrastructure, and ensure data governance to aid business decisions.

As a Senior Geospatial Data Engineer, you will optimize data ingestion processes, build scalable data pipelines, and mentor junior engineers to support risk analysis for utilities using advanced geospatial data.

As a Data Engineer, you'll design and manage data pipelines, collaborate with teams, implement data governance, optimize queries, and enhance data engineering practices using various tools and technologies.

The Data Engineer will develop and optimize data pipelines for ML research, ensure data quality, and support model deployment while collaborating closely with ML teams.

The Data Engineer will design and manage data pipelines, optimize cloud infrastructure, ensure data quality, and collaborate across teams to translate business needs into technical solutions.

As a Principal Data Engineer, you will build data pipeline architecture, optimize data flow, and support data projects across teams while ensuring consistent data delivery architecture.

Develop and enhance the data platform, focusing on cloud-based microservices data pipelines while leading projects from design to deployment, and collaborating with the team.

Design, build, and maintain data pipelines and storage solutions using Azure services and Databricks, collaborating for analytics. Keep up with modern cloud technologies and ensure data governance.

The Senior Global Azure Data Engineer designs and optimizes data pipelines using Azure technologies to support analytics initiatives, ensuring data quality and integration.

The Azure Data Engineer delivers modern data solutions by provisioning data from various sources to the QuidelOrtho Lakehouse, applying business logic, and collaborating with teams.

As a Junior Databricks Infrastructure Engineer, you will support the design, implementation, and maintenance of Databricks infrastructure for data analytics. Responsibilities include managing resources, monitoring performance, troubleshooting issues, and collaborating with teams to optimize infrastructure.