Remote Junior Data Engineer - Azure Data Factory & Fabric

Sii Poland; Kraków; Hybrid; PLN 60,000 - 90,000; Full time

Benefits offered by this job

Great Place to Work

Solid financial situation

Centre of internal trainings

Many experts you can learn from

Profit sharing

Regular integration events and trips

Comfortable and well-equipped offices

MySii app

Medical care

Job summary

Sii Poland is seeking a Junior Data Engineer to join our team in Poland. You will work with Microsoft Fabric and Azure Data Factory to develop and maintain data solutions, and collaborate with colleagues to deliver impactful projects.

In this role you will help design data pipelines, assist with data integration from multiple sources, and participate in code reviews while following best practices. Strong English is expected and a passion for the Big Data domain.

Qualifications

• 2+ years in ETL role or similar data engineering experience.
• Hands-on with Microsoft Fabric and Azure Data Factory.
• Familiar with data modeling and ETL processes.
• Basic understanding of cloud technologies and data storage.

Responsibilities

• Develop and maintain data pipelines using Microsoft Fabric and Azure Data Factory.
• Collaborate with team to design and implement data solutions.
• Assist in integrating data from various sources.
• Participate in code reviews and promote best practices.
• Troubleshoot and optimize existing data processes.
• Document technical specifications and processes.

Skills

ETL pipelines

Microsoft Fabric

Azure Data Factory

Data modeling

ETL processes

Cloud technologies

Team communication

English proficiency

Tools

SQL

Job description

Sii Poland is seeking a Junior Data Engineer to join our team in Poland. You will work with Microsoft Fabric and Azure Data Factory to develop and maintain data solutions, and collaborate with colleagues to deliver impactful projects.

In this role you will help design data pipelines, assist with data integration from multiple sources, and participate in code reviews while following best practices. Strong English is expected and a passion for the Big Data domain.