⛅️ Data Platform Engineer

As a Data Platform Engineer, you create scalable, resilient platforms that empower data engineers, analysts, and scientists to turn raw data into meaningful insights fast, safely and with confidence.

Requirements

• Expertise in data engineering and cloud architecture.
• Proficiency in building ELT data pipelines using tools like Airflow, Prefect, Dagster, Spark, dbt, or related tooling.
• Mastery of software engineering skills including Git, Python, and SQL.
• Expertise in cloud engineering with tooling like Terraform, Docker, Kubernetes,... for robust and scalable cloud infrastructure.
• Understanding of at least one data platform such as Databricks, Snowflake, Fabric, Azure data services, or AWS data services.

Benefits

• Attractive salary
• Extralegal benefits
• Mobility budget or a company car with fuel/charging card
• Hospitalization and group insurance
• High-end laptop
• Smartphone with subscription
• Substantial amount of holidays
• Meal vouchers