Cloud Data Engineer (GCP) — ETL, Python, BI | Flexible
Summary
Designs and maintains scalable GCP data pipelines using Airflow, Dataform, and BigQuery, builds serverless apps, and creates BI dashboards in Looker Studio or Power BI.
Making Science is seeking a data engineer to design, build, and maintain scalable data solutions on Google Cloud Platform, improving data models with Airflow, Dataform, and BigQuery. You will develop serverless apps with Cloud Run/Functions, and create dashboards in Looker Studio or Power BI while ensuring data integrity and timely ETL processes.
The role requires 2–3 years of experience and a solid foundation in SQL and Python, with an undergraduate technical degree.