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.

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.

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

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 Senior Data Engineer will design and develop ETL pipelines, ensure data quality and integration, and mentor junior engineers.

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

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 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.

Develop scalable software, collaborate on design and architecture, conduct code reviews, and mentor new team members in a high-performance environment.

As a Data Engineer, you will build ingestion pipelines, develop applications, support cloud services, and ensure quality engineering in Agile environments.

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.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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 design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data 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.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

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

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

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

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

As an Azure Data Engineer, you'll design and implement cloud-native data platforms on Azure, focusing on secure data ingestion, transformation, and storage. You will leverage technologies like Terraform, Docker, and Azure DevOps to build infrastructures and ensure data quality.

The role involves designing, building, and maintaining data pipelines using Python, collaborating with international teams, and managing data solutions on Databricks.

As a Data Engineer, you will design and implement cloud data infrastructure, develop data pipelines, ensure compliance with health data standards, and collaborate across teams.

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