Top Data Engineer Jobs in Czechia

The Data Engineer will be responsible for designing, developing, and improving data warehouse solutions, maintaining ETL flows, ensuring data reliability, managing stakeholder expectations, and integrating data into business processes. Key requirements include experience with ETL tooling, data modelling, and Python programming.

As a Middle Data Engineer, you will enhance online car markets by developing and maintaining data pipelines, working with AWS services and SQL, and collaborating with a senior engineering team to improve tools and drive initiatives.

As a Strong Middle Data Engineer, you will enhance online car markets and improve user experience. Responsibilities include simplifying existing tools, managing technical debt, proposing improvements, and collaborating closely with Senior Engineers and management.

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.

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.

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.

As a Data Engineer at NN, you will maintain the ALFRED Asset components, assist in onboarding additional Asset data, contribute to the ART-to-ALFRED initiative, and resolve issues related to ALFRED. You will support the ambitious data strategy for the Finance & Risk Data Platform.

As a Data Engineer at Pipedrive, you will design and build data pipelines, develop solutions, monitor and fix defects, assist internal customers with the Data Warehouse, and lead system design. You will collaborate with the data engineering team and be on-call for production incidents.

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.

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 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 Apify, you will enhance data architecture and ETL processes, collaborate with product teams, and ensure data quality. Responsibilities include designing scalable data solutions, identifying data enrichment opportunities, and supporting the data team to improve data extraction efficiency.

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.

As a Senior Data Platform Engineer, you will improve and scale the NN Data Analytics Platform by designing and implementing solutions for various business units. Responsibilities include automating data components, ensuring platform security and reliability, mentoring junior engineers, and sharing knowledge across teams.

As a Data Platform Engineer, you will enhance and maintain data platforms, translating customer needs into modular solutions. You will provide technical guidance to support function teams, design optimized architectures, participate in code reviews, and stay current with industry trends.