Top Data Engineer Jobs in Czechia

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

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.

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.

The Senior Big Data Engineer is responsible for building scalable data pipelines, improving code performance and reliability, and collaborating with various teams to enhance the SpendingPulse data product. This role includes testing and innovating new solutions while analyzing economic trends through large datasets.

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 Senior Data Engineer will design and implement data ingestion and processing using AWS big data technologies, develop and support data tools for data science, guide fellow engineers, and collaborate with stakeholders to optimize data infrastructure and delivery.

As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.

The Senior Data Ops Engineer will maintain data and database platforms, ensuring high data availability and performance. Responsibilities include managing data pipelines, collaborating with engineers, automating infrastructure with Terraform, and integrating Docker in CI/CD processes.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.

As a Senior Data Engineer at Auros, you will be responsible for developing and maintaining high-throughput data architectures, analyzing and automating data quality improvements, and building trading analytics systems. You will collaborate with trading teams to enhance data analysis and systems for executing trades globally.

As a Data Systems Engineer, you will develop key technology for processing blockchain data, implement storage strategies, optimize performance in multi-tenant systems, and build data transformation pipelines. You will also leverage Apache DataFusion and contribute to the engineering of core components of The Graph.

The Senior Data Science Engineer will develop cutting-edge applications, design scalable services for data pipelines, and work on ML infrastructure and Generative AI applications, while engaging in Agile methodologies and focusing on client success.

As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.

The Senior Data Engineer will design, develop, and maintain data pipelines, write complex SQL queries, implement data models in Snowflake, and develop Python and C# scripts for data processing. The role involves collaboration with data analysts and ensuring data quality while optimizing data storage and performance.