Top Data Engineer Jobs in Prague

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.

As a Data Platform Engineer, you will design and implement scalable cloud-based data infrastructure, build CI/CD pipelines, and ensure platform reliability by implementing observability solutions, collaborating with teams to meet performance needs.

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

The Senior Data Platform Engineer will build scalable infrastructure for data independence, ensure data reliability, optimize cloud costs, and guide legacy migrations to a new data platform.

Develop and enhance ML models for search and recommendation; work with data engineers on ML components for production; research ML techniques.

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.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

As a Big Data Engineer, you will design and implement data processing systems, manage technologies like Hadoop and Spark, and build ETL processes to ensure data quality and performance.

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.

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.

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

The Senior Data Engineer will build and optimize data pipelines, collaborate with engineering teams, and ensure data quality and scalability.

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.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Senior Software Engineer II will design, implement, scale, and maintain code for production systems, pushing technical limits and enhancing the Cint platform for data solutions and measurement.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.