Senior GCP Data Engineer - Scale Data Pipelines & Analytics

Ingrity; Sydney; On-site; AUD 140,000 - 180,000; Full time

Job summary

Ingrity in Sydney is seeking a Data Engineer to design and optimize data solutions on Google Cloud Platform, building scalable pipelines with BigQuery, DataFlow, Cloud Storage, and Pub/Sub, collaborating with clients and data teams.

You will implement ETL/ELT, ensure governance and security, and contribute to CI/CD and deployment, with 5+ years of experience in data engineering. Strong SQL, Python, warehousing, and container knowledge are required. Australian work rights are essential.

Qualifications

• 5+ years of data engineering experience with GCP
• Strong SQL skills for BigQuery
• Proficient in Python for data processing
• Experience designing data warehouses and schemas
• Knowledge of containerisation is a plus
• Bachelor's degree required; master's preferred

Responsibilities

• Design, develop, and maintain scalable data pipelines on GCP.
• Implement ETL/ELT processes for ingestion and transformation.
• Optimise workflows for performance and reliability.
• Ensure data governance, security, and compliance.
• Collaborate with data scientists and analysts to enable data access.
• Maintain code repositories and CI/CD pipelines.
• Troubleshoot data infrastructure issues to minimise downtime.
• Stay up to date with industry trends and new technologies.

Skills

GCP expertise

SQL

Python

ETL/ELT design

Data modelling

CI/CD familiarity

Communication

Education

Bachelor's degree in CS/Engineering or related field

Master's degree preferred

Tools

BigQuery

DataFlow (Apache Beam)

Cloud Storage

Pub/Sub

Docker

Kubernetes

Job description

Ingrity in Sydney is seeking a Data Engineer to design and optimize data solutions on Google Cloud Platform, building scalable pipelines with BigQuery, DataFlow, Cloud Storage, and Pub/Sub, collaborating with clients and data teams.

You will implement ETL/ELT, ensure governance and security, and contribute to CI/CD and deployment, with 5+ years of experience in data engineering. Strong SQL, Python, warehousing, and container knowledge are required. Australian work rights are essential.