Data Engineer – GCP

About the role

Publicis Global Delivery is seeking a Data Engineer with expertise in Google Cloud Platform to design, build and maintain robust data pipelines that support the company’s analytics and reporting needs. You will work closely with business stakeholders to translate requirements into scalable ETL solutions.

Key responsibilities

• Design, develop and optimise data pipelines on GCP using BigQuery and Cloud Storage.
• Implement ETL processes in Python and SQL to ingest, transform and load data from multiple sources.
• Collaborate with data analysts and product teams to understand data requirements and ensure data quality.
• Monitor, troubleshoot and improve existing data workflows for performance and reliability.
• Document data models, pipelines and best practices.

Required profile

• 3–5+ years of professional experience in data engineering.
• Strong proficiency in SQL and Python.
• Hands‑on experience building ETL pipelines on Google Cloud Platform.
• Ability to translate business needs into efficient data solutions.
• Fluent English (B2+ / C1).

Required skills

• SQL
• Python
• Google Cloud Platform
• BigQuery
• Google Cloud Storage
• ETL development