Top Data Engineer Jobs in Warsaw

As a Junior Associate Engineer in Data, you'll design, build, and maintain data systems and pipelines to process and analyze large volumes of data, ensuring data quality and integration from diverse sources, while collaborating with analysts and stakeholders.

Responsible for designing and implementing a data and analytics platform, building data pipelines, collaborating on data architecture, and supporting data-driven decision-making in the organization.

The Data Engineer will design and maintain data pipelines and infrastructure, support analytics and automation, and collaborate on ML/GenAI projects.

The Data Engineer will design and maintain data sources, optimize ETL pipelines, implement automation for data reliability, and collaborate with different teams to meet data requirements.

The role involves developing innovative Data & Analytics products, enhancing existing solutions, and creating Tableau dashboards while ensuring data integrity and compliance in collaboration with finance stakeholders.

Design and lead the development of data infrastructure and pipelines, ensuring operational excellence and data quality while mentoring teams.

The Senior Data Engineer will design and maintain data systems, build data pipelines, optimize ETL processes, and ensure data quality, collaborating with various teams to facilitate data-driven decision making.

The Data Engineering Lead is responsible for designing and optimizing data architectures, overseeing data systems, mentoring team members, and ensuring high-performance data processes that align with business goals.

The Data Engineer will design and maintain data pipelines, optimize performance, enforce governance, and collaborate with AI teams for innovative solutions.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

As a Web Scraping Engineer, you will develop tools for processing big and unstructured data, ensuring accuracy and compliance through extensive testing and maintenance of scrapes.

The role involves building and maintaining scalable data systems for analytics, ensuring data quality, and collaborating with teams to optimize data usage.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

Design, build and optimize data systems for regulatory reporting. Manage PostgreSQL environments and Airflow pipelines, ensuring data integrity and performance.

Design and optimize databases and data processing systems, collaborate with developers, gather user requirements, and provide user support.

Design and implement customer data integrations, optimize SQL for analytics, and collaborate with teams to ensure data integration success.

The role involves architecting scalable data solutions, building ETL pipelines, ensuring data integrity, and collaborating across teams to support analytics and machine learning at Kpler.

The Data Engineer will build ETL/ELT pipelines, manage AI model training datasets, and create automated evaluation pipelines, focusing on AI integration.

As a Data Engineer, you will analyze data, utilize Python and SQL for data extraction and manipulation, and create reports to communicate findings.

The Analytics Engineer will design and implement data integration solutions (ETL) for data analytics, build data models, and improve data infrastructure.

As a Data Engineer II, you'll design and maintain data infrastructure, build data pipelines, and ensure data quality and performance while collaborating with cross-functional teams.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

The Marketing Data Engineer will architect and build data systems, develop integrations, advance analytics, automate workflows, and ensure data quality.

The Senior BI Data Engineer at Jamf leads data infrastructure creation, manages analytics projects, optimizes data quality, and enhances data systems, playing a pivotal role in the data landscape to inform business decisions.

The role involves managing and scaling BI data infrastructure, developing data pipelines, conducting data analysis, modeling data, and collaborating with stakeholders.