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 Technical Support Engineer II will provide customer support for Motorola's TETRA systems, troubleshoot issues, liaise with engineering, and participate in system upgrades, while also creating problem documentation.

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 will build ingestion pipelines, develop applications, support cloud services, and ensure quality engineering in Agile environments.

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.

As a Junior Data Engineer, you'll work on data pipelines and analytics solutions in Azure, collaborating with teams to define requirements and ensure quality. You'll be mentored in a collaborative, agile environment, contributing to impactful projects while learning and growing in your role.

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.

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

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

The Senior Data Engineer will design and manage data ingestion and processing, ensuring security and efficiency while collaborating with teams and mentoring others.

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.

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.

Develop and maintain data pipelines using Python and SQL, build integrations, manage data storage solutions, and ensure data quality.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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

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.

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 Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

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, 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 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.