Top Data Engineer Jobs in Warsaw

The Data Engineer develops ETL/ELT pipelines and data warehousing solutions, collaborating with teams to enhance data capabilities at UL Solutions.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

Seeking a Data Engineer to manage ETL processes, maintain data warehouses, and optimize data workflows in Google Cloud, primarily using Apache Airflow and SQL.

The Data Engineer will develop and optimize data pipelines, improve architectural solutions, and collaborate across teams to deliver data-driven insights.

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.

We are seeking a Mid QA Engineer to ensure software quality through testing and collaboration in the banking sector, requiring 4+ years experience.

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 Data Engineer will design and implement data pipelines, databases, and processing systems, ensuring data security and integrity while collaborating with stakeholders.

Assist in the migration of users from a data analytics platform, providing technical support and collaborating with cross-functional teams. Responsibilities include troubleshooting issues, documenting processes, and contributing to risk tracking.

Join dentsu as a Data Engineer, focusing on ETL processes, cloud administration, and data warehouse maintenance within Google Cloud. Responsibilities include building scalable ETL workflows, writing code, managing data pipelines, and collaborating on ML solutions.

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

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.

As a Middle Data Engineer, you'll build and manage ELT/ETL pipelines using Snowflake and Airflow, ensuring data reliability while collaborating with BI teams and maintaining data integrity.

Design and develop ETL data pipelines while improving data infrastructure and ensuring data quality using various technologies and tools.

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 Data Engineer will design and implement scalable data solutions on AWS, manage data pipelines, enforce data governance, and collaborate with teams to enhance processes while troubleshooting challenges.

The Data Engineer will design and deploy data pipelines, manage data models, and support business intelligence activities within Gett's platform.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The Data Platform Engineer will develop and maintain data lakes and pipelines, propose improvements, and ensure best practices in data engineering.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

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

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.

As a Data Engineer, you will design, develop, and optimize data pipelines, ensure best practices, and enhance data workflow efficiencies while collaborating with multiple teams.

The Senior QA Engineer will execute manual and automated tests, collaborate on requirements, support UAT, and ensure software quality for financial systems.