Cloud Data Engineer: Azure Databricks & Data Pipelines

Sii Poland; Katowice; On-site; PLN 134,000 - 201,000; Full time

Job summary

Sii Poland is expanding its Data & Analytics Competence Center in Katowice to develop scalable data processing platforms and ETL/ELT pipelines within Azure Databricks. The role focuses on data modeling, batch and real-time processing, and ensuring robust data pipelines in collaboration with BI and Data Science teams.

You will document solutions and translate business requirements into technical architectures, supporting analytics-driven decision-making across the organization.

Qualifications

• Experience designing scalable data processing platforms.
• Proficient in building ETL/ELT pipelines for data integration.
• Experience with Azure Databricks.
• Strong data modeling and data structure design.
• Experience with batch and near real-time data processing.
• Ability to monitor and optimize data pipelines.
• Excellent collaboration with data analysts and BI teams.
• Ability to gather requirements and propose solutions.
• Create and maintain technical documentation.

Responsibilities

• Design, build, and deploy scalable data processing platforms.
• Create and maintain ETL/ELT pipelines for Azure Databricks.
• Model data and tailor structures for analytics.
• Implement batch and near real-time processing solutions.
• Monitor and optimize existing pipelines.
• Collaborate with data analysts, BI teams, and Data Science.
• Gather business requirements and propose solutions.
• Create and maintain technical documentation.

Skills

Data engineering

ETL/ELT pipelines

Azure Databricks

Data modeling

Data Lake

Batch processing

Real-time processing

Monitoring pipelines

BI collaboration

Technical documentation

Job description

Sii Poland is expanding its Data & Analytics Competence Center in Katowice to develop scalable data processing platforms and ETL/ELT pipelines within Azure Databricks. The role focuses on data modeling, batch and real-time processing, and ensuring robust data pipelines in collaboration with BI and Data Science teams.

You will document solutions and translate business requirements into technical architectures, supporting analytics-driven decision-making across the organization.