Top Data Engineer Jobs in Krakow

As a Data Engineer, you will enhance the Enterprise Data Hub, support AWS Redshift, and implement data delivery solutions based on business needs.

The Data Engineer will design and implement scalable data solutions, optimize ETL processes, and ensure data quality and compliance for a logistics network.

The Data Warehouse Operations Senior Engineer is responsible for monitoring, maintaining, and optimizing the enterprise data warehouse, ensuring ETL stability, performance, and supporting SOX compliance. This role requires collaboration with stakeholders to resolve data integrity issues and manage operational activities.

Seeking a Senior Software Engineer to design scalable solutions, optimize performance, and collaborate with cross-functional teams to enhance data management and analytics.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

Assist in the migration of users from a data analytics platform, providing technical support and collaborating with cross-functional teams. Responsibilities include troubleshooting issues, documenting processes, and contributing to risk tracking.

As a Data Engineer, you will design and maintain data pipelines, models, and observability solutions, transforming data into business insights using various cloud technologies.

The Data Engineer will build and manage data platforms and pipelines, integrating data sources and ensuring reliability while enabling self-service analytics for business users.

Develop reusable data pipelines, optimize ETL processes, build data integrations, and improve data platform architecture while collaborating with cross-functional teams.

As a Data Engineer, you will develop and maintain ETL data pipelines, ML data pipelines using Temporal, and backend services in Go while ensuring high performance and reliability.

Design and lead the development of data infrastructure and pipelines, ensuring operational excellence and data quality while mentoring teams.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The role involves building and maintaining scalable data systems for analytics, ensuring data quality, and collaborating with teams to optimize data usage.

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

As a Data Engineer, you will design metrics, build reports, analyze data trends, and collaborate with cross-functional teams to enhance data-driven decision-making.

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 Lead AWS Software Data Engineer will design and develop scalable data pipelines using Python and AWS tools, collaborate with business teams, and enhance data quality and observability while applying modern software engineering practices.

The role involves developing and maintaining data pipelines and backend APIs using Python, while collaborating with teams to integrate AWS services.

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

The Middle Data Engineer will design and maintain data pipelines, manage cloud-based solutions, and resolve data issues while collaborating with teams.

The Senior BI Data Engineer at Jamf leads data infrastructure creation, manages analytics projects, optimizes data quality, and enhances data systems, playing a pivotal role in the data landscape to inform business decisions.

As a Data Engineer, you will design, build, and maintain data pipelines and observability solutions while supporting customer data and AI projects.

The Data Engineer will design, develop, and maintain BigQuery data pipelines, optimize performance, troubleshoot data issues, and support data-driven decision-making.

Lead and mentor the data engineering team while overseeing data pipelines, models, and governance to ensure scalable and compliant solutions.

The role involves managing and scaling BI data infrastructure, developing data pipelines, conducting data analysis, modeling data, and collaborating with stakeholders.