DATA ENGINEER PL

Build and evolve data pipelines (ETL/ELT) to develop automated, reliable, and scalable flows. Model and make data available for segmentation and personalization, ensuring documentation and frequency of availability. Ensure data quality, governance, and reliability by defining and monitoring data contracts and SLAs. Create monitoring and alerts to proactively detect issues before they affect clients.

Proficiency in SQL and Python. Experience with cloud data platforms and data lake/lakehouse architectures. Familiarity with data pipeline orchestration tools like Airflow or Databricks Workflows. Knowledge of data quality, governance, and observability practices.

Full-time position with a 5x2 work schedule, offering flexibility in working hours. Includes a competitive salary, health and dental insurance, and various benefits such as meal vouchers and home office support.