GCP Data Engineer – Cloud Data Projects

About the role

We are seeking an enthusiastic GCP Data Engineer to join our dynamic project team. You will develop and maintain large‑scale data pipelines on Google Cloud Platform, collaborating with senior engineers and data analysts to turn raw data into actionable insights.

Key responsibilities

• Develop, test, and maintain data pipelines and ETL/ELT processes using Python, SQL, and GCP services.
• Write and optimise complex SQL queries in BigQuery for data transformation, extraction, and analysis.
• Assist in designing and implementing data models within our data warehouse.
• Troubleshoot and resolve issues in data pipelines and data quality to ensure accuracy and availability.
• Collaborate with the broader project team to understand data requirements and deliver effective solutions.

Required profile

• Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field.
• 5‑8 years of hands‑on experience with Python for data manipulation and processing.
• Strong proficiency in SQL for querying and data transformation.
• Hands‑on experience with Google Cloud Platform, especially BigQuery and Pub/Sub.
• Solid understanding of data warehousing concepts and ETL/ELT processes.

Required skills

• Python
• SQL
• Google Cloud Platform (GCP)
• BigQuery
• Pub/Sub
• Data warehousing
• ETL/ELT processes
• Git
• Cloud Composer (Airflow)
• Dataflow
• Cloud Functions