Top Data Engineer Jobs in Poland

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

The Data Engineer develops ETL/ELT pipelines and data warehousing solutions, collaborating with teams to enhance data capabilities at UL Solutions.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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

The Data Engineer will develop data infrastructure and models for Waymo's commercialization team, focusing on data warehousing and pipeline solutions, collaboration with teams, and ensuring data quality and compliance.

As a Full Stack Engineer, you will develop features for the analytics platform using Java and TypeScript, focusing on backend services and React apps, enhancing the software observability product.

The Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

The Data Engineer will design and maintain data infrastructure and pipelines for analytics and operational intelligence, focusing on data integration and security.

The Data Engineer will design and deploy data pipelines, manage data models, and support business intelligence activities within Gett's platform.

The Data Engineer will design scalable data platforms, build real-time data pipelines, and develop semantic models for AI integration, ensuring data quality and compliance while collaborating with teams on infrastructure.

The Data Engineer will design scalable data platforms, build real-time pipelines, and develop models for AI integration, ensuring data quality and compliance.

The Data Engineer will develop and optimize data pipelines, improve architectural solutions, and collaborate across teams to deliver data-driven insights.

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

The Data Platform Engineer will develop and maintain data lakes and pipelines, propose improvements, and ensure best practices in data engineering.

As a Senior Backend Data Engineer, you'll design large-scale data pipelines, develop backend services, and collaborate with cross-functional teams to enhance digital environments.

As a Data Engineer, you will develop and support big data processing pipelines, build cloud-based infrastructure, and provide visualization solutions for data assets.

The Data Engineer will design and implement data pipelines, databases, and processing systems, ensuring data security and integrity while collaborating with stakeholders.

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.

Design and automate data pipelines, develop systems for storing operational data, ensure data quality, and collaborate with data scientists.

Join dentsu as a Data Engineer, focusing on ETL processes, cloud administration, and data warehouse maintenance within Google Cloud. Responsibilities include building scalable ETL workflows, writing code, managing data pipelines, and collaborating on ML solutions.

The Data Engineer builds and supports data pipelines, develops data warehouses, and creates monitoring dashboards to improve data processing reliability.

The Data Engineer is responsible for data collection, sanitization, transformation, and integration into reports to support business decisions. The role involves designing data pipelines, troubleshooting issues, and ensuring data quality in collaboration with a global team.

Develop and maintain a Customer Data Platform (CDP), integrating event data, building data pipelines, and collaborating with various teams on user identification mechanisms.

The role involves developing innovative Data & Analytics products, enhancing existing solutions, and creating Tableau dashboards while ensuring data integrity and compliance in collaboration with finance stakeholders.

As a Senior/Expert ML/Data Engineer, you will build data pipelines and ML models, focusing on AI/ML innovations, mentoring, and optimizing data solutions.