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!