GCP Data Engineer

Role Overview

Join one of our clients as a GCP Data Engineer, designing, developing, and maintaining scalable ETL/ELT pipelines on Google Cloud Platform (GCP). Collaborate with cross-functional teams to deliver secure, scalable, and reliable data solutions.

What You Will Do

Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP). Build and optimize data warehouses, data lakes, and cloud-native data solutions. Integrate AI models into data pipelines and ensure data quality, monitoring, and performance.

Why It Might Be a Fit

You’ll be a great match if you have strong experience with Python, SQL, and data modeling, hands-on experience with GCP, and experience with Git, CI/CD, and orchestration of data pipelines.

Requirements

• Strong experience with Python, SQL, and data modeling
• Hands-on experience with GCP, including BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, and Cloud Composer/Airflow
• Experience with Git, CI/CD, and orchestration of data pipelines
• Understanding of AI/ML pipelines and MLOps concepts
• French (C1+) and professional English
• Strong analytical, communication, and problem-solving skills