Top Data Engineer Jobs in Prague

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.

As a Data Reliability Engineer at Similarweb, you will ensure the quality and accuracy of data collection processes, investigate data across platforms, monitor and troubleshoot data issues, and maintain tools for enhancing data configurations.

The Data Engineer will develop and optimize data pipelines to support machine learning research. Responsibilities include designing scalable data architectures, collaborating with ML researchers, transforming data for experiments, and managing data integration processes using Python and SQL, along with NoSQL databases.

The Data Analytics Engineer will design, develop, and implement data solutions, focusing on data warehouse design, ETL flows, and complex data models. Responsibilities include maintaining data reliability, managing stakeholder expectations, and optimizing transformations to enhance data processes.

The Senior Data Software Engineer will develop Cato Networks' data platform, focusing on cloud-based microservices data pipelines and high-scale data processing, collaborating within a scrum team. Responsibilities include leading development, implementing features, troubleshooting, and conducting code reviews.

The Senior Front-End Engineer will enhance the data quality configuration and visualization capabilities of our product, collaborate with teams to create user-centric solutions, and drive the development of complex web applications using modern frontend technologies, while ensuring efficient software releases.

Design and develop a cloud native enterprise system, lead cross-team initiatives, drive SaaS architecture, mentor others, take end-to-end ownership of the product, and design scalable systems for data management.

Develop a self-service, cloud-based enterprise web application, enhance SaaS architecture, create user-friendly features, assist in decoupling monolithic application, take end-to-end ownership of product, design scalable systems, write clean and testable code, work on software architecture, develop multi-tenant systems, and thrive in distributed systems environments.

As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.

The Senior Data Analytics Engineer will analyze large player datasets to derive insights and enhance game performance. Responsibilities include building dashboards, designing data models, collaborating with product teams, and mentoring others. This role involves managing multiple projects within a dynamic environment.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

As a Senior Data Engineer at 3Pillar, you will be responsible for developing and maintaining efficient ETL pipelines, collaborating with engineers and stakeholders, and ensuring high-quality data processing solutions, leveraging AWS technologies and Python programming to enhance data ingestion and modeling.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.

As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.