Top Data Engineer Jobs in Prague

As a Data Engineer, you will develop data solutions for global banks, modernizing data processes and designing architectures while leading sub-projects.

Design and operate data processing layers for Zeta's AdTech platform, focusing on streaming and batch data pipelines. Collaborate with multiple teams to support ML features and analytics systems.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer will design and implement big data architectures and pipelines, optimize machine learning models, collaborate with stakeholders, and automate data processing using cloud services and CI/CD tools.

The Data Engineer will design and implement data pipelines and architectures, support machine learning model deployment, and engage in data management and optimization strategies for big data environments.

Develop and maintain scalable data architecture and pipelines, ensuring data quality for analytics and business decision-making in collaboration with stakeholders.

The Data Engineer will focus on infrastructure automation, reliability, and cost optimization. Responsibilities include designing Infrastructure-as-Code, managing CI/CD pipelines, establishing observability standards, and collaborating with teams to improve platform resilience.

The Data Engineer will develop and maintain data pipelines, implement data transformation models, and enhance the data platform, collaborating with various stakeholders.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Looking for a Software Engineer with 3-4 years of C++ experience to develop high-quality software, collaborate with teams, and participate in the full software development lifecycle.

Design, build, and optimize scalable Azure data pipelines and Lakehouse solutions using Azure Data Factory and Databricks. Integrate varied data sources, apply business logic, migrate legacy databases to cloud, and collaborate in Agile teams to deliver high-quality analytics-ready datasets.

Lead design and build of scalable data pipelines and infrastructure, optimize performance, ensure data quality/security, integrate new sources, collaborate with data scientists, mentor junior engineers, and drive architecture and tooling decisions.

As a Data Solutions Engineer, you'll develop solutions, build data pipelines, present to customers, and communicate technical concepts effectively. You'll collaborate with teams to improve delivery processes and meet customer needs.

We are seeking an AWS Developer to create a proactive security XDR solution, with experience in cloud solutions, Java, Python, and AWS services.

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.

Develop and maintain data pipelines, implement ETL processes, ensure data quality, and perform data modeling while mentoring junior engineers.

The Software Engineer will support data collection for model training, manage cloud infrastructure for ingestion pipelines, and collaborate with AI scientists to enhance data quality and scalability.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Design and implement AI projects, balance technical complexity with business impact, and collaborate with stakeholders to deliver value using AI and data.

As a Staff Data Engineer, design and implement large-scale data processing systems, build data pipelines, and architecture with a focus on scalability, performance, and security while collaborating across teams and mentoring juniors.

The Senior Data Engineer will redesign and simplify the data warehouse infrastructure, improve system stability, optimize data pipelines, and oversee infrastructure performance. Responsibilities include conducting audits, making architectural proposals, and supporting ML/AI workflows.