Top Data Engineer Jobs in Krakow

As a Backend Data Engineer, you will design and maintain data pipelines, implement features for marketing analytics, and collaborate with various teams while ensuring system performance and data quality.

As a Principal Big Data Engineer, you will design scalable solutions, develop data pipelines, create features, and collaborate with various teams to enhance Akamai's data platform.

The AI Data Engineer will build scalable data pipelines, drive AI tool adoption, enhance engineering efficiency, and collaborate across teams to implement best practices.

The AI Data Engineer will build scalable data pipelines, adopt AI workflows, improve engineering efficiency, and collaborate with multiple teams while ensuring data quality.

The Data Engineer will design and implement data migration solutions, develop pipelines and ensure data quality for audiology solutions.

As a Data Engineer, you will design metrics, build reports, analyze data trends, and collaborate with cross-functional teams to enhance data-driven decision-making.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, ensuring data quality and performance while integrating with existing environments.

The role involves designing scalable data pipelines and architectures, integrating multiple data sources, and ensuring data quality and governance within the CMDB and Asset Intelligence platform.

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.

The role involves designing, building, and maintaining scalable data systems, optimizing data models, writing SQL queries, and ensuring data quality in collaboration with data teams.

Design and deliver data solutions including data marts and dashboards, optimizing performance, implementing governance frameworks, and mentoring team members.

The role involves developing software for road features, improving data processing pipelines, monitoring performance, and implementing security best practices.

Design and maintain data pipelines while optimizing data warehouses, collaborating with analysts and scientists, and ensuring data integrity through quality measures.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

As a Data Engineer, you will develop and optimize data pipelines, implement advanced analytics, and collaborate with stakeholders to enhance data systems.

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

Build and maintain Python-based data pipelines on Databricks, collaborate with product and domain experts, debug Tier-2 system issues, create documentation and onboarding processes, write integration tests, manage code in GitLab, and improve data quality and self-service tooling.

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

The Senior Software Engineer will lead engineering teams, mentor junior engineers, and ensure system reliability and performance while developing backend services.

Design and operate scalable Java-based backend services, develop APIs, build data pipelines, and collaborate with cross-functional teams for personalized solutions.

As a Flink Data Engineer, you will develop real-time streaming pipelines, upgrade Flink environments, migrate datasets, and ensure data quality through automation and collaboration with teams.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks, optimize data transformations, and integrate data from various sources, ensuring quality and performance.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Full Stack Data Engineer will design and build scalable data pipelines, optimize Snowflake architecture, develop dashboards and analytics solutions, and collaborate with cross-functional teams to ensure data reliability and meet business requirements.

We are seeking a GCP Data Engineer to build ETL/ELT pipelines, maintain dbt models, optimize BigQuery performance, and support data access in an international, remote team.