Top Data Engineer Jobs in Krakow

Design, build, and maintain backend services and automation for data pipelines and internal tooling. Integrate AI/ML features, own CI/CD and observability, lead code reviews, and collaborate with cross-functional teams to ensure scalable, reliable production systems.

As a Senior Data Engineer, you'll design and build high-performance systems for programmatic advertising, ensuring efficient processing of millions of ad transactions in real-time using AI technologies.

Maintain and expand a high-scale data platform: build and run data pipelines, implement DataOps, collaborate with analytics teams, ensure data quality and security, and design enterprise data models.

The Senior Data Architect/Analytics Engineer will design data architectures, optimize SQL, ensure data accuracy, and create scalable data solutions while contributing to product strategy and documentation.

The Senior Data Engineer will design and implement data solutions, focusing on scalable data models and pipelines, while collaborating with analytics teams.

Lead a team of data platform engineers to design scalable data pipelines and analytical workflows while driving architectural decisions and ensuring software engineering best practices.

The role involves maintaining and enhancing backend services, developing features in Python, handling data pipeline issues, and collaborating with a team. Requires strong skills in Apache Airflow and various database systems.

This role involves designing data architecture, building data transformation pipelines, and maintaining Power BI and Azure solutions. You will ensure data quality and support business intelligence reporting.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.

The Senior Data Engineer will design and maintain scalable data pipelines, develop real-time processing systems, and enhance the company's data architecture using AWS and other technologies.

The Senior Data Science Engineer will architect software solutions, drive AI research, design AI systems, and mentor junior engineers while focusing on innovative solutions in the travel domain.

As a Staff Software Engineer at Redpanda, you will design and develop the Agentic Data Plane, lead technical projects, and enhance operational excellence in cloud services, focusing on reliability and scalability.

Design and build services for Redpanda's Agentic Data Plane, collaborating globally and ensuring high reliability and scalability of AI systems.

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 Principal Data Science Engineer will leverage statistical analysis and machine learning to optimize airline revenue performance and customer experience, collaborating with teams to develop data models and algorithms, and support product development cycles.

Develop and enhance BI solutions using SAP technologies, ensuring best practices in performance, data integration, and training users on SAP Data & Analytics.

The role involves leading the design and development of enterprise security products, focusing on architecture, engineering, and mentorship in data and SaaS security.

The Senior Data Engineer will design, maintain, and optimize data pipelines using Azure Data Factory and dbt while ensuring data quality and integrity.

The Senior Data Engineer will develop data pipelines using AWS services, optimize SQL processes, and automate data platform functionalities while ensuring performance and quality standards are met.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

Lead design and implementation of a cloud-native enterprise platform: architect core services, data flows, APIs, and deployment automation. Build scalable distributed systems, improve observability and CI/CD, and collaborate across product and operations to ensure performance, reliability, and security.

Lead architecture and development of scalable, hybrid/cloud-native data security and SaaS platforms. Drive platform vision, mentor engineers, ensure compliance-ready designs, and standardize CI/CD and DevSecOps practices across products.

Lead design and ownership of on‑prem Kubernetes deployment, installers, packaging, and upgrade workflows. Ensure operability, security, and reliability in enterprise and restricted environments while mentoring engineers and partnering with Support.

Design, develop, and maintain software for asset monitoring solutions. Conduct code reviews, resolve defects, and collaborate within an agile team.

As a Senior Data Engineer, you will develop data pipelines, design data models, implement ETL solutions, optimize data processes, and work with event-driven architecture in an Azure-based platform.