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

Design and develop AI applications, deploy machine learning models, integrate AI into business systems, and work with cross-functional teams to create AI-driven solutions.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Senior Data Engineer will design and develop ETL pipelines, ensure data quality and integration, and mentor junior engineers.

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 develop and support big data processing pipelines, build cloud-based infrastructure, and provide visualization solutions for data assets.

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 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.

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.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

The Junior Data Engineer coordinates data integration projects, collaborates on data solutions, and ensures data integrity while working with various teams and stakeholders.

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.

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

Design and optimize data lakes and ETL pipelines using AWS services. Collaborate with stakeholders to ensure high-quality datasets, compliance, and data governance.

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.

The Data Engineer will focus on infrastructure automation, reliability, and cost optimization. Responsibilities include designing Infrastructure-as-Code, managing CI/CD pipelines, establishing observability standards, and collaborating with teams to improve platform resilience.

The Data Engineer will build and maintain the data platform, optimize data transformations, implement data governance, and collaborate on data assets to ensure data-driven decision making.

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

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.