Top Data Engineer Jobs in Krakow

Lead the design and implementation of strategic data architecture, develop and maintain data pipelines, ensure data governance and quality, and mentor team members.

We are looking for a Senior Data Engineer to build and optimize data pipelines, manage ETL processes, and work with complex datasets in Azure cloud using Python/PySpark and Databricks.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

The Staff/Lead Fullstack Engineer will enhance the Mimica Webapp by architecting scalable UI components, managing large datasets, and optimizing performance while collaborating with cross-functional teams.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Develop and manage real-time data pipelines, ensure high performance and low latency while collaborating on various backend technologies. Support production systems and enhance solutions using modern AI-assisted development tools.

Lead a team of data platform engineers to design scalable data pipelines and analytical workflows while driving architectural decisions and ensuring software engineering best practices.

Design and maintain data platforms using modern technologies for analytics. Develop scalable data pipelines, ensure data reliability, and implement best practices for data governance and performance optimization.

As an Advanced Data Platform Engineer, you will design scalable data platforms, implement complex data pipelines, and optimize performance using modern technologies like Spark and Delta Lake to enable advanced analytics.

The Senior Data Protection Engineer will design and implement data protection solutions, manage insider threat detection, and lead data classification efforts, ensuring the security of sensitive data assets company-wide.

The Support Solutions Engineer will provide customer support for Big Data technologies, develop automation tools, improve support processes, and ensure excellent service for Netflix's engineering community.

As a Support Solutions Engineer at Netflix, you will handle customer requests, troubleshoot issues, automate support processes, and enhance support tools for the Data Platform.

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

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

Lead the development of scalable cloud-native data platforms, optimizing enterprise data systems while mentoring a team and engaging with stakeholders.

Build and optimize data pipelines and models, monitor cloud data warehouses, and maintain documentation while collaborating with teams.

As a Staff Engineer and Team Lead, you will architect scalable backend systems, mentor engineers, and ensure high-quality code for Alpaca's market data suite.

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.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

As a Staff Data Engineer, you'll build scalable data platforms, develop robust data pipelines, and improve analytics and reporting capabilities, collaborating with a distributed team.

As a Senior Data Engineer, you will build and optimize data pipelines, manage AWS data infrastructure, and ensure data quality while collaborating with teams to translate business needs into reliable data solutions.

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.