mindSoft

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.