Data Engineer (Python) $$ Offline

We are looking for a motivated Data Engineer (Python) to join our data team. You will work on building and improving data ingestion and transformation pipelines, ensuring that data is reliable, high-quality, and ready for analytics and reporting.
This is a great opportunity for someone who already has hands-on experience in data engineering and wants to grow in a professional environment with real production tasks.

Responsibilities

• Develop and maintain data ingestion and transformation pipelines.
• Work with various data sources (APIs, databases, cloud storage).
• Automate and schedule workflows using Apache Airflow.
• Ensure data accuracy and reliability across all processes.
• Collaborate with senior engineers and analysts to support business data needs.
• Contribute to improving existing data processes and documentation.
  
   

Requirements

• 1+ year of experience as a Data Engineer or in a similar position.
• Solid knowledge of Python (pandas, data processing, scripting).
• Basic experience with Apache Airflow or other workflow orchestration tools.
• Understanding of ETL/ELT processes and data transformation concepts.
• Experience with SQL and relational databases (PostgreSQL, MySQL, etc.).
• English level B1+ (ability to communicate in a professional environment).
• Eagerness to learn and improve data engineering skills.
  
   

Nice to Have

• Experience with AWS, GCP, or Azure cloud platforms.
• Familiarity with Docker or other containerization tools.
• Basic knowledge of data warehousing concepts.
  
   

We Offer

• Competitive compensation according to your experience.
• Remote work and flexible schedule.
• Mentorship and professional development support.
• Opportunity to work with modern tools and technologies.
• Friendly and supportive team.