Top Data Engineer Jobs in Krakow

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

The Senior Data Engineer will develop and maintain ETL processes, optimize data extraction performance, and mentor junior engineers while ensuring data quality and security in the Faria Data Platform.

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.

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

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

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves collaborating on machine learning algorithms for pricing optimization, building data pipelines, and communicating insights. Experience with financial data science is essential.

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.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

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.

The role involves building and integrating data pipelines, enhancing feature stores for real-time ML applications, and improving data monitoring for FinCrime contexts.

Design and develop Enterprise Data Warehouse solutions, focusing on scalable data pipelines, API integrations, and transformation processes using PySpark or SQL.

Lead the development and implementation of scalable data platforms and pipelines, while guiding a team and engaging with clients to meet their data needs.

The role involves preparing, cleaning, and modeling data, integrating datasets, writing SQL queries, performing data quality checks, and collaborating with stakeholders.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.

Lead the design and development of Databricks-based big data solutions. Provide mentorship, oversee project implementations, and support pre-sales technical efforts.

As a Data QA Engineer, you'll own the QA process, develop test plans, analyze test results, collaborate with cross-functional teams, and ensure product quality for AI/ML models.

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 Senior Data Engineer, you'll design and maintain data pipelines, ensure data quality, and collaborate with teams to enable data-driven insights.

As a Senior Data Engineer, you will design the data platform, ensure data integrity, collaborate with machine learning and software engineers, and establish best practices within the data team.

As a Back End Engineer, you will develop and maintain data ingestion pipelines for collecting public data from external sources, ensuring data accuracy and compliance while collaborating with various teams.