Junior+/Mid Data Engineer

Cloudfide is a dynamic technology company specializing in large-scale Big Data and cloud-native platforms for global clients. We are looking for a Junior+ or Mid-level Data Engineer to join our team and help build innovative solutions that process massive, complex datasets within the Azure and Databricks ecosystem.

Key responsibilities

• Designing, building, and maintaining enterprise-level data pipelines on Azure and Databricks.
• Developing robust data processing logic using Python and PySpark.
• Ensuring high data quality, reliability, and performance across all data workflows.
• Optimizing data pipelines for both performance and cost efficiency.
• Collaborating with international teams to translate business requirements into technical solutions.

Requirements

• At least 1.5 years of commercial experience in data engineering.
• Strong proficiency in Python for data processing and solid SQL skills.
• Hands-on experience working with Azure and Databricks.
• Proven ability to build and maintain enterprise-level data pipelines.
• Fluent English communication skills for effective collaboration.

What we offer

• Fully remote work environment with the flexibility to work from anywhere in the world.
• Annual development budget of 2,000 PLN and access to e-learning platforms.
• Mentoring from experienced engineers and clear paths for internal career progression.
• Flexible working hours with a strong focus on maintaining a healthy work-life balance.
• Stable long-term cooperation via UZ or B2B contracts.