Top Data Engineer Jobs in Czechia

As a Big Data Developer, design and improve software using various methodologies, focusing on high-quality solutions and collaboration across teams.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

The Big Data Engineer will develop an OpenXDR solution, managing streaming data from various security sources utilizing AWS and Big Data technologies.

Build and optimize data pipelines and models, monitor cloud data warehouses, and maintain documentation while collaborating with teams.

As a Staff Engineer and Team Lead, you will architect scalable backend systems, mentor engineers, and ensure high-quality code for Alpaca's market data suite.

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.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

As a Staff Infrastructure Engineer, you'll design and operate distributed data services, manage data infrastructure at scale, and ensure high availability, low latency across multiple clouds while optimizing performance and cost.

As a Staff Infrastructure Engineer, you will design and manage distributed data services, optimizing performance and ensuring uptime for a large-scale data platform across multi-cloud environments.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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

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

The Senior Data Engineer will design and maintain Looker dashboards, optimize SQL queries, and work with stakeholders to provide data insights and governance.

The role involves leading infrastructure design for distributed data services, managing data ingestion, and optimizing cloud operations. Responsibilities include performance tuning and lifecycle management of systems, adhering to GitOps principles, and ensuring observability and HA in Kubernetes.

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