Top Data Engineer Jobs in Krakow

The role involves designing, building, and maintaining scalable data systems, optimizing data models, writing SQL queries, and ensuring data quality in collaboration with data teams.

The role involves enhancing cybersecurity reporting through data analytics, developing ETL capabilities, and collaborating with leaders to create management reports.

The Software Engineer will develop full-stack features for a reporting platform, working on frontend and backend components, integrating APIs, and ensuring quality and reliability of features.

Design, build, and maintain backend services and APIs for reporting features, while collaborating with cross-functional teams and mentoring less experienced engineers.

The role involves delivering technologies for measuring cybersecurity performance, developing analytics-ready datasets, and creating reporting capabilities using tools like Power BI and SQL.

The Cybersecurity Data Analytics Engineer will enhance reporting capabilities, develop data pipelines, and partner with leaders on performance metrics in cybersecurity.

As a Senior Data Engineer, you will build and optimize data pipelines, enhance AWS data infrastructure, and collaborate with teams to deliver reliable data solutions.

The Senior Data Engineer will develop tools for the Data Platform, maintain streaming data pipelines, support teams, and ensure software engineering best practices.

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.

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

Responsible for developing data pipelines, maintaining data products, ensuring data quality and accuracy, and managing documentation and deployment within a governed enterprise environment.

The Full-Stack Developer will build scalable frontend components using Angular, develop RESTful APIs with Java Spring Boot, integrate third-party APIs, and collaborate with other teams to deliver complete features.

Execute manual testing of data pipelines and SQL queries, design automated test cases, collaborate with teams, and ensure data accuracy.

This role involves designing data architecture, building data transformation pipelines, and maintaining Power BI and Azure solutions. You will ensure data quality and support business intelligence reporting.

The Data Platform Engineer will develop and maintain data warehouse solutions using Python, SQL, Azure Data Factory, and Snowflake, focusing on data flows, integrations, and performance optimization while providing support and documentation.

The Senior Data Engineer will develop and maintain scalable data pipelines, model data for analytics, optimize performance, ensure quality, and lead engineering standards.

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 design and maintain data pipelines, ensuring high data quality and performance. Responsibilities include ETL development, data transformation, and documentation.

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 Data Engineering Application Engineer manages Network Control projects, implements data handling solutions, configures databases, analyzes customer data, and supports technical issues with a focus on customer satisfaction.

The Senior Data Engineer will design and implement scalable data systems, focusing on both batch and real-time data processing using AWS and Apache Spark, while mentoring others and optimizing costs.

As a Senior Data Engineer, you'll design and build high-performance systems for programmatic advertising, ensuring efficient processing of millions of ad transactions in real-time using AI technologies.

The Data Platform Engineer will design and implement scalable cloud-based data infrastructure, build CI/CD pipelines, and establish observability for reliable data systems, collaborating with cross-functional teams.