Top Data Engineer Jobs in Krakow

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

The AI/ML Data Engineer develops solutions for ETL processes, implements data quality metrics, and adapts technologies for big data processing while leveraging AI/ML data platforms.

Design and develop data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory, ensuring data quality and scalability.

The Data Engineer will design and develop data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory, ensuring efficiency and integration with SQL Server environments.

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

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

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.

This role supports Supply Chain operations by improving data quality, managing data transformation, and designing data models for visualization.

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.

The Data Engineer will manage deployments of core infrastructure components, contribute to CI/CD pipelines, and support data engineering standards focusing on reliability and scalability.

The AI Data Engineer will design and build AI data pipelines, ensuring reliability and quality for predictive intelligence in the Large Market Model.

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

The role involves designing, developing, and maintaining backend systems, collaborating with cross-functional teams, and supporting continuous operations and availability of services.

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.

Design and build real-time data pipelines using ClickHouse and Google Cloud. Focus on data quality and optimize financial datasets for analytics.

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 Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

Join Guesty as a Data Engineer to build and maintain scalable data systems, optimize ETL processes, and collaborate across teams for data-driven operations.

As a Principal Data Engineer, you'll architect and oversee data assets for customer-facing analytics, lead design reviews, mentor teams, and drive an AI-first data engineering approach.

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