GCP Data Engineer ( Contractual Role )

Job Summary:

We are looking for a highly skilled and motivated GCP Data Engineer to join our team immediately. This is a remote opportunity to support a key client in the retail industry.

The ideal candidate will have hands -on experience in Google Cloud Platform (GCP), Azure Data bricks, and DBT (Data Build Tool). You will work with large -scale structured and unstructured datasets, including retail offline (store sales) and online (e -commerce) data, as well as PII -sensitive information.

• Design, build, and maintain scalable data pipelines on GCP.
  

• Work with Azure Data bricks to support data processing and ML workflows.
  

• Build and manage DBT models for data transformation, quality checks, and reporting.
  

• Handle structured and unstructured data using modern cloud data stack technologies.
  

• Implement secure coding practices and ensure compliance with data privacy standards (PII handling).
  

• Collaborate with data scientists to product ionize machine learning models.
  

• Integrate and analyze data from various retail sources (in -store POS and e -commerce platforms).
  

• Monitor and optimize data workflows for performance, scalability, and cost efficiency.
  

• Work closely with cross -functional teams to deliver robust and reliable data solutions.
  

Requirements

Required Skills & Qualifications:

• 5+ years of experience in data engineering or related roles.
  

• Strong expertise in Google Cloud Platform (GCP) data services (BigQuery, Data flow, Pub/Sub, Cloud Functions).
  

• Experience working with Azure Data bricks for data processing.
  

• Hands -on experience with DBT (Data Build Tool) in production environments.
  

• Proficiency in Python and SQL for data processing and ETL pipelines.
  

• Experience with data orchestration tools (Airflow, Cloud Composer).
  

• Knowledge of secure coding practices and handling PII data.
  

• Experience working with unstructured data (logs, media, text, etc.).
  

• Understanding of retail datasets (offline and online channels).
  

• Familiarity with data science concepts and supporting ML model product ionization.
  

• Excellent communication and collaboration skills
  

Benefits

Preferred Qualifications:

• Experience working with international clients, especially Australian clients.
  

• GCP Professional Data Engineer certification is a plus.
  

• Familiarity with BigQuery, Data flow, Pub/Sub, Cloud Functions, etc.
  

• Knowledge of Airflow/Cloud Composer for workflow orchestration.