Top Data Engineer Jobs in Warsaw

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.

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.

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

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

The Data Engineer will design and maintain ETL workflows, manage cloud resources, optimize SQL queries, and collaborate on ML model deployment.

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

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

Responsible for building and maintaining data pipelines, implementing data transformation processes, and collaborating with analysts and developers to meet data needs.

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

Design and maintain scalable ETL pipelines using Python, migrating to Java, ensure data quality, collaborate cross-functionally, and utilize big data frameworks.

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

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

The Data Engineer will construct data pipelines, manage ETL processes, optimize SQL queries, and ensure data integrity, utilizing various tools such as Airflow, Python, and SQL.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

The Middle Data Engineer will migrate legacy SQL Server data to Snowflake, refactoring ETL processes and ensuring efficient data movement for analytics.

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

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

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.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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

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

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