Top Data Engineer Jobs in Krakow

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

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

Lead a team in geospatial data processing and software development, mentor engineers, and partner with business to translate goals into engineering plans.

The Data Engineer will work on data integration projects, improving data acquisition processes, managing data ingestion and transformation using tools like Kafka and Postgres, and ensuring proper documentation.

The Data Engineer will scale and automate ML workflows, utilizing various technologies for infrastructure, CI/CD pipelines, and data versioning.

The Data Engineer will design scalable data platforms, build real-time pipelines, and develop models for AI integration, ensuring data quality and compliance.

We are seeking a Mid QA Engineer to ensure software quality through testing and collaboration in the banking sector, requiring 4+ years experience.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, ensure data integrity, and integrate third-party data sources for analytical capabilities.

Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.

As a Data Engineer, you will manage PostgreSQL RDS upgrades, implement data archiving strategies, and collaborate with engineering teams for optimal database performance.

As a Data Engineer, you will develop data pipelines, optimize ETL processes, build integrations, and enhance the data analytics platform in Azure.

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

Assist in the migration of users from a data analytics platform, providing technical support and collaborating with cross-functional teams. Responsibilities include troubleshooting issues, documenting processes, and contributing to risk tracking.

As a Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

The Data Engineer will design and deploy data pipelines, manage data models, and support business intelligence activities within Gett's platform.

Lead the data engineering team, ensuring quality data processes and product stability while managing operational tasks and stakeholder coordination.

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.

The Data Platform Engineer will develop and maintain data lakes and pipelines, propose improvements, and ensure best practices in data engineering.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Senior Backend Data Engineer, you'll design large-scale data pipelines, develop backend services, and collaborate with cross-functional teams to enhance digital environments.

The Data Engineer will design, develop, and maintain BigQuery data pipelines, optimize performance, troubleshoot data issues, and support data-driven decision-making.

The Senior QA Engineer will execute manual and automated tests, collaborate on requirements, support UAT, and ensure software quality for financial systems.

As a Data QA Engineer, you will validate data pipelines and SQL queries, design test cases, collaborate with teams, and ensure data accuracy.

As a Data Engineer, you'll design and optimize data pipelines on Databricks, implement scalable data models, and collaborate with AI teams for advanced analytics and security integrations.