Junior+/Mid Data Engineer

Quick Facts

• Role: Junior+/Mid Data Engineer

Description

Build and maintain enterprise-level data pipelines on Azure and Databricks for global clients. Develop data processing logic in Python (including PySpark) and work with modern data architectures. Ensure data quality, reliability, performance, and cost efficiency of data workflows.

Responsibilities

• Design, build, and maintain enterprise-level data pipelines on Azure and Databricks.

• Develop data processing logic using Python and PySpark.

• Ensure data quality, reliability, and performance of data workflows.

• Optimize pipelines for performance and cost efficiency.

• Translate business requirements into well-structured technical tasks and deliver them end-to-end.

• Write clean, tested, and well-documented code and participate in code reviews.

• Collaborate with team members and stakeholders to solve data challenges.

Requirements

• At least 1.5 years of commercial experience in data engineering.

• Strong Python skills for data processing.

• Hands-on experience with Databricks.

• Experience working with Azure.

• Experience building enterprise-level data pipelines.

• Good SQL skills.

• Drive and a proactive approach.

• Strong problem-solving skills.

• Fluent English communication for effective collaboration across international teams.

Benefits

• MyBenefit platform / Multisport

• Enel-Med private medical care

• Annual 2,000 PLN development budget

• Access to e-learning platforms

• Mentoring from experienced engineers

• Clear path for skill growth and internal promotions

• Long-term cooperation (UZ or B2B)

• Remote-first; work from anywhere (workation)

• Flexible hours and work-life balance focus