Top Data Engineer Jobs in Krakow

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

As a Staff Engineer, you will lead software implementation, optimize data platforms, mentor team members, and promote coding best practices.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

The Senior Software Engineer will enhance and maintain cloud data platform emulators, ensure compliance with the latest standards, and improve developer tools.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

As a Senior Data Engineer, you'll build and maintain data pipelines, ensure data quality, collaborate across teams, and innovate data solutions.

As a Senior Product Engineer on the Data Insights team, you will design, build, and maintain features that help mobile developers grow their businesses, focusing on data-related solutions and product quality.

As a Senior Backend Engineer at ClickUp, you'll develop and maintain the Workspace Migration Service, ensuring high performance and scalability while collaborating with other engineers on sophisticated backend features.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

Responsible for testing processes, documenting outcomes, validating data accuracy, ensuring the impact of changes, and guiding user testing in data quality engineering.

Lead the delivery of Palantir Foundry solutions, design scalable data platforms, mentor engineers, and enhance client engagement while ensuring technical excellence.

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 Software Engineer will develop and optimize GPU and CPU accelerated software libraries, collaborate with teams, and lead technical projects.

Lead the design and development of algorithmic stages for cloud applications in geospatial big data. Collaborate with teams to integrate solutions and align product development with customer needs.

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.

Seeking a Senior Data Support Engineer with extensive experience in Data Engineering and various technologies including Snowflake, Python, and SQL.

The Data Platform Technical Lead will enhance data infrastructure, maintain ETL processes, ensure data quality, and collaborate with teams for seamless customer experiences.

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.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.