Senior Cloud Data Engineer — AI-Driven, Real-Time Analytics
Summary
A senior data engineer takes technical ownership of Lapieza's cloud data ecosystem on Google Cloud, building real-time and scheduled pipelines with BigQuery, Dataflow, Pub/Sub, and Airflow/Composer to power analytics, ML, and commercial decisions, while mentoring engineers on ETL/ELT and scalable lakehouse architecture.
Lapieza is seeking a senior data engineer to take technical ownership of a cloud data ecosystem that fuels analytics, ML, and commercial decisions. You will shape how data moves, scales, and stays trustworthy on Google Cloud, while raising the bar for the team through automation and AI-assisted engineering.
You will own real-time and scheduled data flows using BigQuery, Dataflow, Pub/Sub, and Airflow/Composer, implement ETL/ELT strategies, and guide engineers toward scalable lakehouse