Top Data Engineer Jobs in Prague

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

The Head of Data/Solutions Engineer will oversee data architecture, support sales engineering, advocate in the data community, and ensure customer success.

The role involves leading the development of backend features for a Data Platform dealing with large-scale data ingestion and processing, ensuring stability, security, and quality of the codebase while mentoring team members.

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.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

As a Senior Product Engineer on the Data Insights team, you will design, build, and maintain features that help mobile developers grow their businesses, focusing on data-related solutions and product quality.

Design, develop, and maintain data pipelines using Python and SQL. Collaborate with teams for analytics, build data models, manage orchestrations, and integrate diverse data sources.

Lead the design and implementation of ETL pipelines and data solutions on the Snowflake platform, optimizing performance and ensuring data quality and insights for business decision-making.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

As a Staff Software Engineer at SentinelOne, you'll lead software development, review code, build specifications, support troubleshooting, and collaborate closely with team members on ingestion pipelines.

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

As a Senior Data Engineer, you'll develop and optimize data pipelines for a Consumer Data Lake, ensuring data accuracy and compliance with privacy regulations while collaborating with cross-functional teams.

The Lead Data Engineer will manage a team of engineers, design data pipelines, analyze requirements, innovate with new technologies, and develop team skills.

The Senior Data Engineer will build and maintain software solutions, design APIs, implement ETL pipelines, and collaborate with teams to enhance data analytics capabilities for clients.

The Senior Data Engineer will lead data architecture discussions, build reliable data pipelines, mentor team members, and ensure data quality across initiatives.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

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 Staff Software Engineer, you will develop scalable software solutions in Java, collaborate with teams, conduct code reviews, and lead technical initiatives.

Design and implement scalable data pipelines and architectures for efficient data processing, while collaborating with cross-functional teams and mentoring junior engineers.

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves collaborating on machine learning algorithms for pricing optimization, building data pipelines, and communicating insights. Experience with financial data science is essential.

As a Senior Backend Engineer at ClickUp, you'll develop and maintain systems for performance and scalability, contribute to backend features, and work with APIs and third-party integrations in a remote environment.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.