Cloud Data Engineer (f/m/x)

Sii Poland; Poznań; On-site; PLN 90,000 - 130,000; Full time

Job summary

Sii Poland in Poznań focuses on a Data & Analytics Competence Center, advancing data processing and analysis in the cloud and across Data Lake/Data Platform architectures. You will develop scalable pipelines and data models, enabling analytical and business insights.

The role involves collaboration with data analysts, BI teams, and Data Science to prepare, share, and document data solutions, leveraging modern data technologies and architectures.

Responsibilities

• Designing, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture
• Creating and maintaining ETL/ELT pipelines for data integration from various sources and processing them in the Azure Databricks environment
• Data modeling and preparing data structures tailored to analytical and business needs
• Implementing solutions for data processing (batch and/or near real-time)
• Monitoring, optimizing, and developing existing pipelines and data processing processes
• Collaborating with data analysts, BI teams, and Data Science on data preparation and sharing
• Gathering business requirements and proposing optimal technological solutions
• Creating and maintaining technical documentation for developed solutions

Job description

Do you want to develop your skills in cloud technologies? Join our specialized unit focusing on experts in data processing and analysis within the Data & Analytics Competence Center. We also offer development in the areas of Data Science, Big Data, and Machine Learning.

Your tasks

• Designing, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture
• Creating and maintaining ETL/ELT pipelines for data integration from various sources and processing them in the Azure Databricks environment
• Data modeling and preparing data structures tailored to analytical and business needs
• Implementing solutions for data processing (batch and/or near real-time)
• Monitoring, optimizing, and developing existing pipelines and data processing processes
• Collaborating with data analysts, BI teams, and Data Science on data preparation and sharing
• Gathering business requirements and proposing optimal technological solutions
• Creating and maintaining technical documentation for developed solutions