Senior Data Engineer

Description: Lead the architecture, migration, and optimization of production data pipelines using Airflow, Spark, dbt, BigQuery, and Python in the telecommunications sector. Propose user-data workflows, migrate existing pipelines, establish engineering standards, and implement verification jobs. Requirements: Deep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python. Proven track record of leading live pipeline migrations and establishing engineering best practices. Concrete mentoring or technical leadership experience. Benefits: Diverse and technically challenging projects. Training budget for professional and personal growth. Flexible working hours and a hybrid workplace model.