Top Data Engineer Jobs in Poland

Design, build, and maintain data pipelines, collaborate with teams, conduct system analysis, and ensure data quality using Python and Databricks.

The Senior Software Engineer will design and develop scalable software solutions for GIS location data, ensuring high-quality code and mentoring team members.

The AI Data Engineer will develop scalable data pipelines, optimize AI models, collaborate with teams, ensure data quality, and enhance AI strategies.

The role involves designing, implementing, and maintaining scalable data pipelines, collaborating on financial projects, and enhancing data security on cloud and on-premise infrastructures.

As a Big Data Engineer at Capco, you will design and manage scalable data pipelines, optimize data workflows, and ensure data security in cloud environments, specifically using GCP services. You will collaborate with teams to support business objectives and innovate data solutions.

The Data Engineer will design and maintain databases and data pipelines, optimize data systems, gather user requirements, and ensure compliance with performance standards.

The Data Engineer will automate data flow, design data systems, ensure data quality for ML, create visualizations, and support the Data Science Team.

Lead the design, development and maintenance of a scalable data engineering framework, ensuring best practices and high-quality software engineering across Electrolux's data teams.

As a Data Engineer, you will develop, test and implement data engineering solutions, manage metadata structures, and prepare data for data science outcomes.

As a Senior Big Data Engineer, you will design, implement, and maintain scalable data pipelines, develop ETL processes, and ensure compliance with quality standards in financial services projects.

The Strong Middle Data Engineer will design and optimize data pipelines in Palantir Foundry, collaborate on data requirements, and ensure data integrity with best practices.

As a Senior Data Engineer, you design and develop components and data pipelines, focusing on performance and event-driven architecture, while optimizing processes and collaborating in an Agile environment.

Design and implement cloud solutions, migrate data to the cloud, ensure quality and collaborate on migration solutions. Continuous skill improvement in data engineering.

The Data Engineer will develop and maintain data architectures to support analytics, ensuring data integrity, scalability, and security while collaborating with various teams.

Design and build complex data pipelines, collaborate with analysts and researchers, and optimize data storage solutions using various technologies.

The Junior Data Engineer will transform data into geospatial products, implement pipelines, monitor data integrity, and collaborate with teams.

As a Junior Data Engineer, you'll implement data pipelines, manage data quality, and collaborate to deliver high-quality data products. You'll also work with GCP tools and optimize data infrastructure while learning and growing in a supportive environment.