Data Engineer

📋 Description

• Collaborate with the team to define goals and deliver data solutions.
• Innovate with new tools to improve infrastructure and processes.
• Design and implement ETL, optimize queries, automate pipelines.
• Own projects end-to-end—build and improve data systems with clients.
• Develop tools for the team and assist in migrations and model design.
• Build scalable, high-performance data architectures.
• Focus on code quality—review, document, test, CI/CD.

🎯 Requirements

• Experience in Data Engineering and building data pipelines.
• Strong SQL and Python (Pandas, Numpy, Jupyter).
• Cloud experience (AWS, GCP, Azure, DBS or DBT).
• Basic knowledge of Docker.
• Experience with Airflow or Prefect.
• Familiarity with ETL processes and automation.

🎁 Benefits

• In-Company English Lessons.
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
• Birthday off.
• Referral bonuses – grow the team & get rewarded!
• Annual Mutters' Trip – an unforgettable getaway with the team!