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