Top Data Engineer Jobs in Poland

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, you will enhance the Enterprise Data Hub, support AWS Redshift, and implement data delivery solutions based on business needs.

As a Junior Associate Engineer in Data, you'll design, build, and maintain data systems and pipelines to process and analyze large volumes of data, ensuring data quality and integration from diverse sources, while collaborating with analysts and stakeholders.

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.

Design and implement customer data integrations, optimize SQL for analytics, and collaborate with teams to ensure data integration success.

Develop reusable data pipelines, optimize ETL processes, build data integrations, and improve data platform architecture while collaborating with cross-functional teams.

As a Junior/Mid-Level ML Data Engineer, you'll develop data pipelines, support ML model deployment, and collaborate with teams on AI projects.

As a Data Engineer II, you'll design and maintain data infrastructure, build data pipelines, and ensure data quality and performance while collaborating with cross-functional teams.

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.

As a Data Engineer, you'll design, develop, and maintain BI solutions, ensuring data quality and performance while collaborating with business partners.

Design and implement data solutions, optimize ETL pipelines, and lead teams in creating scalable data architectures using Microsoft Fabric.

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

The Middle Data Engineer will build and maintain data pipelines, perform data transformations, support production workloads, and collaborate with teams to implement standard practices in data engineering.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The role involves designing and maintaining data pipelines, applying DevOps principles, managing cloud resources, and collaborating with teams on documentation and architecture.

As a Middle Data Engineer, you will support the migration of SQL Server data to Snowflake, refactoring ETL processes, ensuring data movement efficiency for analytics, and collaborating with teams for QA and deployment.

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 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.

The Data Engineering Lead is responsible for designing and optimizing data architectures, overseeing data systems, mentoring team members, and ensuring high-performance data processes that align with business goals.

The Senior Data Engineer will design and maintain data systems, build data pipelines, optimize ETL processes, and ensure data quality, collaborating with various teams to facilitate data-driven decision making.

The Data Engineer will design and maintain data pipelines, optimize performance, enforce governance, and collaborate with AI teams for innovative solutions.

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.

The Middle Data Engineer will migrate legacy SQL Server data to Snowflake, refactoring ETL processes and ensuring efficient data movement for analytics.

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

As a Data Engineer, you will build ingestion pipelines, develop applications, support cloud services, and ensure quality engineering in Agile environments.