Top Data Engineer Jobs in Krakow

The Data Engineer will design and maintain data pipelines and infrastructure, support analytics and automation, and collaborate on ML/GenAI projects.

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

The Data Engineer will develop and maintain ETL/ELT pipelines, implement monitoring systems, establish data quality checks, and document data structures.

As a Junior Data Engineer, you will support the development of data pipelines, maintain data quality processes, and collaborate with stakeholders to ensure reliable data infrastructure.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Senior Data Engineer will manage supply chain data assets, ensure data quality, develop data pipelines, and provide technical leadership within product squads. Responsibilities include data engineering, governance, and collaboration with various teams to improve analytics and operational strategies.

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

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.

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 Senior Data Engineer will document business requirements, design and build Power BI reports, improve data processing efficiency, and implement solutions for large datasets.

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 Software Engineer will design and develop automated test scripts, expand test automation coverage, debug test failures, and collaborate with the team to ensure product quality.

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

The Senior Data Engineer is responsible for developing ETL processes, optimizing data extraction performance, ensuring data quality, and mentoring junior engineers while collaborating with external consultants.

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.

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

As a Staff Engineer, you will lead software implementation, optimize data platforms, mentor team members, and promote coding best practices.

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

The Senior Software Engineer will develop and optimize GPU and CPU accelerated software libraries, collaborate with teams, and lead technical projects.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

The Data Service Engineer will manage data pipelines, transform data for insights, and support data operations using GCP services.

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.