Data Engineer

📋 Description

• Design, build, and optimize batch and streaming data pipelines with Python, Spark, and ClickHouse.
• Develop and operate data workflows with Apache Airflow for scheduling and monitoring.
• Model and document analytics data systems using SQL and dbt for BI workloads.
• Implement infrastructure-as-code (Terraform) to provision cloud data components.
• Containerize and deploy services with Kubernetes (Helm).
• Collaborate with analysts and teams to translate requirements into technical designs.

🎯 Requirements

• 4+ years building and running production data pipelines.
• Python: strong, idiomatic, tested; readable pipelines.
• Advanced SQL (windows, CTEs) and performance mindset.
• Data modeling and warehousing; dimensional modeling and SCDs.
• dbt: building, testing, and documenting models.
• Apache Airflow: DAGs, backfills, retries, SLAs, debugging.

🎁 Benefits

• 32 days of paid vacation plus your birthday off.
• A flexible hybrid working scheme to balance work and life.
• Access to a learning budget and internal training to help you grow in your role.
• Mental health coaching to support your well-being.
• Regular global and local get-togethers to celebrate successes and build connections.
• The possibility of taking a sabbatical after three years with the company.