Top Data Engineer Jobs in Prague

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.

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.

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 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.

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.

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.

Design and develop a cloud-native enterprise system, leading initiatives and mentoring teams while ensuring high-quality, scalable data management solutions.

The Principal Data Engineer will own and enhance data infrastructure, leverage AI for insights, and support sales operations. This role involves strategic leadership and technical work.

The Senior Software Engineer will design, implement, scale, and maintain software for Cint's production systems, focusing on innovation and technical excellence.

The Senior Data Engineer will lead the development and implementation of data solutions, ensuring effective data management and insights for event operations.

The role involves designing and maintaining lead acquisition and enrichment systems, developing data pipelines, and automating workflows for data processing.

The Senior Data Engineer will design and optimize data pipelines, manage cloud infrastructure, and ensure data governance while collaborating with teams to fulfill data needs.

The candidate will design, develop, and deploy applications using Microsoft Power Platform, manage digital products lifecycle, and engage with stakeholders to deliver business value.

Join an expert annotation team to create training data for AI models. Evaluate AI-generated code, solve coding problems, and write test cases. Requires 3+ years in software engineering, mainly using Python.