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.

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

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

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

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

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

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  Collaborate with data scientists to product ionize machine learning models.

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

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

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

Requirements

Required Skills & Qualifications:

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

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

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  Experience working with Azure Data bricks for data processing.

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

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

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

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  Knowledge of secure coding practices and handling PII data.

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

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  Understanding of retail datasets (offline and online channels).

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

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  Excellent communication and collaboration skills

Benefits

Preferred Qualifications:

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  Experience working with international clients, especially Australian clients.

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  GCP Professional Data Engineer certification is a plus.

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

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  Knowledge of Airflow/Cloud Composer for workflow orchestration.