Top Data Engineer Jobs in Poland

The Junior Data Engineer role involves maintaining and enriching SQL databases, utilizing ETL tools like Alteryx, validating data accuracy, supporting project implementations, and collaborating with data providers to ensure high-quality data management.

Developing big data solutions, designing and optimizing data workflows, creating applications and data pipelines for handling large volumes of data, ensuring performance, scalability, and security, managing tests, supporting project teams and customers on quality management.

Develop big data solutions, optimize data workflows, create applications and pipelines for handling large data volumes, ensure performance and security, manage tests, support project team and customer on quality management.

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

The Data Engineer will design, build, and maintain infrastructure for data collection, storage, and processing. Responsibilities include automating data workflows, ensuring data quality and security, and monitoring production data warehouse.

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 Data Engineer will design and build data pipelines to extract insights and enable advanced analytics from the Enterprise Data Platform. This role requires a strong foundational knowledge of data science and machine learning while proficiently coding and managing data processing tools.

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.

Join Samba TV as a Data Engineer to develop data pipelines, automate business processes, improve data efficiency, and mentor team members. Requires 3+ years of industry experience and strong programming skills in Python or another modern language.

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 for the HSBC Business Intelligence Team at JLL, you will design, develop, and deploy BI solutions, manage project delivery, and source data from various databases while setting up data governance and integration processes to enhance analytics capabilities.

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.

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.

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.