Data Engineer

📋 Description

• Build next-gen data platform and analytics capabilities.
• Design, build, and own end-to-end data pipelines.
• Build, operate, and improve the core data platform for reliability and scale.
• Improve CI/CD, automate workflows, adopt modern tooling, and leverage LLMs.

🎯 Requirements

• Python, SQL, and cloud solutions on AWS or GCP.
• Nice-to-have: ClickHouse, Terraform, CI/CD.
• Nice-to-have: Kubernetes, Kafka, MySQL.
• Nice-to-have: dbt, Airflow.
• Collaborative, proactive engineer with clear communication.

🎁 Benefits

• A culture of professional development and internal mobility.
• Flexible hybrid working scheme.
• 32 days paid vacation plus your birthday off.
• Access to learning budget and internal training.
• Mental health coaching and wellbeing support.
• Regular global and local get-togethers.