Data Engineer (Google Cloud Platform)

About the role

Plus Company is building an "Agentic Backbone" to power data‑driven offerings across its network of creative agencies. As a Data Engineer you will translate the Data Architect’s blueprints into production‑grade pipelines and infrastructure on Google Cloud Platform.

Key responsibilities

• Design, implement and maintain scalable ETL/ELT pipelines that ingest and transform data from diverse sources.
• Translate architectural designs into functional data infrastructure and code.
• Develop and manage data models in BigQuery, supporting analytics and AI/ML workloads.
• Write Python automation scripts and use Cloud Functions, Dataflow, and Pub/Sub to orchestrate workflows.
• Implement data quality checks, validation rules and monitoring to ensure reliable data assets.
• Monitor, tune and optimise pipeline performance and cost within GCP.
• Participate in Agile ceremonies and collaborate with data architects, scientists and engineers.

Required profile

• 3‑5+ years of hands‑on data engineering or development experience.
• Strong practical expertise with Google Cloud data services (BigQuery, Dataflow, Cloud Storage, Pub/Sub).
• Deep proficiency in SQL and Python for data transformation and scripting.
• Proven experience building and operationalising complex ETL/ELT pipelines.
• Solid understanding of data‑warehousing concepts and dimensional modeling.

Required skills

• Google Cloud Platform (GCP)
• BigQuery
• Dataflow
• Cloud Storage
• Pub/Sub
• Cloud Functions
• SQL
• Python