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.

The Production Data Engineer oversees system analysis, strategic partnerships, risk management, and mentorship while ensuring compliance and business impact through technical leadership in data and cloud systems.

Design, build, and maintain data pipelines and ETL processes; model and optimize data storage; ensure data quality and governance; collaborate with data scientists and analysts to deliver analytics-ready datasets and document data systems.

As a Data Engineer, you will design and maintain data pipelines, automate workflows, and resolve issues in complex systems. You will collaborate with teams to enhance operational efficiency and ensure data accuracy.

As a Data Engineer, you will develop and support big data processing pipelines, build cloud-based infrastructure, and provide visualization solutions for data assets.

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.

As a Data Engineer, you will develop and optimize data pipelines, implement advanced analytics, and collaborate with stakeholders to enhance data systems.

Design and maintain scalable data pipelines, optimize performance, and collaborate with teams to improve data quality and governance.

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

The Senior Software Engineer will lead engineering teams, mentor junior engineers, and ensure system reliability and performance while developing backend services.

As a Data Engineer, you will enhance our data platform, build scalable architecture, optimize data transformations, and ensure data governance across teams.

Design, build, deploy, and maintain scalable data products and pipelines. Collaborate with BI and analytics teams to manage the data stack, implement data quality, observability, and governance, and enable automation and self-service for stakeholders across the organization.

The candidate will design and build data infrastructure and AI/ML capabilities for a bank's modernization program, focusing on data pipelines and regulatory compliance.

As a Data Engineer, you will design and manage telemetry systems, support data pipelines, ensure data integrity, and collaborate with various teams for analytics.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

Join Guesty as a Data Engineer to build and maintain scalable data systems, optimize ETL processes, and collaborate across teams for data-driven operations.

As a BI Data Engineer, you'll develop scalable data solutions, maintain ETL pipelines, ensure data integrity, and collaborate across teams for insights and reporting.

The Senior AI Data Engineer will lead the development of data infrastructure for AI projects, ensuring scalable data pipelines and governance, while collaborating with the AI team to optimize performance and facilitate AI training and operations.

As a Data Engineering Summer Trainee, you will work with data science teams to analyze telecom networks data and support data processing pipelines.

Develop and maintain scalable data architecture and pipelines, ensuring data quality for analytics and business decision-making in collaboration with stakeholders.

As a Data Engineer, you will design and optimize data pipelines, ensuring data quality and integration with AI tools in an agile environment.

Design, build, and maintain scalable data pipelines, and optimize data transformations. Collaborate with teams on the data lifecycle and ensure data governance and quality assurance.

The AI Data Engineer will build and enhance data pipelines for AI initiatives, ensuring compliance, governance, and collaboration with cross-functional teams.

As a Data Engineer, you will lead the development of scalable data pipelines, manage production datasets, and mentor engineers while collaborating with Data Science and Analytics teams.