Top Data Engineer Jobs in Krakow

The Data Engineer will design scalable data pipelines, collaborate with teams on data capabilities, and integrate AI/ML models while optimizing existing systems.

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.

Build scalable analytics pipelines using modern data technologies, define data models, optimize systems, and collaborate with teams for data needs.

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

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

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 build and maintain data infrastructure, manage ETL platforms, ensure data quality, and mentor DevOps teams while collaborating cross-functionally.

The Middle Data Engineer will build and operate ELT/ETL pipelines, ingest data, and ensure reliable data delivery while partnering with BI teams.

Design and build data pipelines and systems that support AI-driven insights and analytics, collaborating with cross-functional teams.

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

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

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

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.

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

As a Senior Data Engineer, you will design and build core infrastructure for a data platform, optimize systems, mentor teams, and tackle complex technical challenges.

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

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

As a Data Engineer, you will design scalable data pipelines, collaborate with teams, optimize systems, and support AI/ML integration.

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

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.

Design and maintain data pipelines using DBT, optimize models in Snowflake, and develop Streamlit applications with Python while applying software development best practices.

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.