Top Data Engineer Jobs in Prague

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.

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.

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.