Top Data Engineer Jobs in Warsaw

As a Data Engineer, you will design, implement, and optimize both batch and streaming data pipelines to ensure efficient data flow. You'll support existing infrastructure and introduce new technologies while collaborating with cross-functional teams to enhance data accessibility and performance.

The Data Engineer in Product Analytics is responsible for building and optimizing complex data pipelines using tools like Apache Spark and Airflow. They will collaborate with customers to create meaningful dashboards and assist in deploying these processes in a data analytics environment.

As a Data Engineer, you will design and develop a cloud-based analytical platform, gather data requirements, build data flows using Databricks, create Power BI reports, and follow best practices for software development in a collaborative environment.

The Senior Data Engineer will build and optimize data systems and pipelines, transform raw data into refined models, and enhance data engineering practices. They will also automate incident detection, suggest system architecture improvements, and work with business requirements to design data solutions.

As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.

The Data Engineer will design and maintain effective databases and data processing pipelines. Responsibilities include performance tuning, resolving database issues, collaborating with developers, gathering user requirements, and supporting data management. The role also involves researching new database products and ensuring compliance with company performance standards.

As a Data Engineer, you will design and implement data warehouse solutions, manage data ingestion and transformation processes, optimize SQL queries, and contribute to the technology choices and architecture for pricing and risk components in financial markets. You will collaborate with international teams to deliver high-quality software that meets customer requirements.

Create data pipelines, maintain high-performance data systems, collaborate with other teams, support data quality and security initiatives.

The Data Engineer II will enhance and optimize data pipelines and architecture, support data analysts, and ensure the integrity of data delivery systems across projects. Responsibilities include building data infrastructure, creating analytics tools, and collaborating with stakeholders on data needs.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.

The Data Engineer will design, develop, and implement cloud-based data and analytics platforms. Responsibilities include creating and maintaining data pipelines, optimizing data models, managing ETL processes, integrating data from various sources, monitoring data processing performance, and collaborating with various stakeholders to meet data requirements.

As an IT Data Engineer at Procter & Gamble, you will design and implement data and analytics cloud-based platforms and pipelines, ensuring data is cleansed, transformed, and published effectively. You'll partner with data managers to maintain data quality and leverage coding standards to deliver efficient services in a dynamic team environment.

As a Data Engineer, you will leverage GCP services to build reports and analytics. You'll contribute to developing data products, establish integrations with the new data platform, and collaborate with architects and product owners.

As a Data Engineer II at Viator, you will implement modern data pipelines for marketing data, monitor data accuracy, work with cross-functional teams to define and document data product requirements, reconcile data issues, and contribute to designing optimized data solutions. You will also document data pipelines and ensure compliance with SLAs.

The Data Analyst/Engineer will design, build, and maintain data pipelines using Python and Databricks, collaborate with an international team, manage APIs for data processing, write integration tests, and use version control systems like Gitlab.

As a Data Engineer, you will build a robust data platform for healthcare brands, manage data pipelines, implement scalable architectures for batch and streaming workflows, and enable actionable insights through diverse data integration.

The Senior Data Engineer role involves working remotely on diverse projects across industries like fintech and healthcare. The position emphasizes professional growth, collaboration on coding challenges, and agile practices, ensuring high-quality development processes.