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.

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

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.

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.

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

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'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

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.

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 an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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 Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

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

Design, build, and maintain data pipelines using Python, collaborate on scalable data solutions, conduct system analysis, and create documentation.