Machine Learning Engineer

📋 Description

• Collaborate with the team to define goals and deliver custom data solutions.
• Innovate with new tools to improve our infrastructure and processes.
• Design and implement ETL processes, optimize queries, and automate pipelines.
• Own projects end-to-end—build, maintain, and improve data systems.
• 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, and CI/CD.

🎯 Requirements

• Experience in Data Engineering, including building and optimizing data pipelines.
• Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
• Experience working with any cloud (AWS, GCP, Azure,DBS or DBT).
• Basic knowledge of Docker.
• Experience with orchestration tools like Airflow or Prefect.
• Familiarity with ETL processes and automation.

🎁 Benefits

• In-Company English Lessons.
• AWS/DBT/Google Cloud/Azure/Databricks certs covered.
• Birthday off
• Referral bonuses for team growth
• Annual company trip with the team
• Monthly childcare reimbursement