Top Data Engineer Jobs in Poland

The Data Platform Engineer will develop and maintain data infrastructure, implement monitoring, optimize data delivery, and support data initiatives in a cloud environment.

As a Staff Data Engineer, you'll build scalable data platforms, develop robust data pipelines, and improve analytics and reporting capabilities, collaborating with a distributed team.

The Staff Data Engineer will design and build the core data platform, mentor team members, and lead technical initiatives while collaborating across teams for effective data utilization.

The Senior Data Engineer will design and implement scalable data solutions, develop ELT pipelines, optimize performance, and collaborate with teams to enhance data systems at Zendesk.

The Data Quality Engineer will ensure integration accuracy in marketing platforms, debug tracking issues, and maintain alert systems while collaborating with teams for continuous improvement.

The Python Engineer will utilize AI and Machine Learning to develop data processing pipelines, enhance system performance, and collaborate closely with teams to integrate APIs.

Develop software for risk data pipelines, collaborating with trading teams to manage trade data, improve capital efficiency, and automate operations.

The role involves building and integrating data pipelines, enhancing feature stores for real-time ML applications, and improving data monitoring for FinCrime contexts.

Design, build and run large-scale machine learning pipelines, apply supervised learning and custom algorithms to real-world problems, and ship production-grade Python code. Collaborate with peers across disciplines.

Lead the development and implementation of scalable data platforms and pipelines, while guiding a team and engaging with clients to meet their data needs.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.

Design and implement high-throughput data pipelines for trading and analytics; optimize performance and reliability; collaborate with teams on blockchain data processing.

The Data Engineer will build data connectors, develop functions, maintain ETL pipelines, ensure data quality, and collaborate with teams to optimize solutions.

As a Senior Data Engineer, you will design and build core infrastructure for a data platform, optimize systems, mentor teams, and tackle complex technical challenges.

As a Senior Data Engineer, you'll design and maintain data pipelines, ensure data quality, and collaborate with teams to enable data-driven insights.

The Sr. Data Platform Engineer will build scalable data infrastructure on AWS, collaborate on architectural decisions, and drive data governance and self-service capabilities across teams.

As a Senior Data Engineer, you will design the data platform, ensure data integrity, collaborate with machine learning and software engineers, and establish best practices within the data team.

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

Lead a data engineering team, develop AI self-service portal and data pipelines, interface with internal teams, and ensure software engineering best practices.

The Senior Data Engineer will build data pipelines, automate processes, improve data architecture, and collaborate with cross-functional teams to enhance the Data Analytics Platform on Azure cloud.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.