Junior GCP Data Engineer (BigQuery / Python / Cloud Operations)

Role Overview

We are looking for enthusiastic and technically strong Junior GCP Data Engineers to join an active cloud engineering project. This role is ideal for professionals with hands‑on experience in Google Cloud Platform (GCP), particularly around BigQuery, Python‑based data engineering, SQL development, and cloud operations support.

The ideal candidate should be comfortable working across data engineering, cloud platform support, CI/CD workflows, and troubleshooting in a dynamic engineering environment.

Key Responsibilities – GCP Cloud Engineering

• Design, build, and maintain cloud‑based data solutions on Google Cloud Platform (GCP).
• Work with GCP services such as:
• BigQuery
• Cloud Storage
• Cloud Functions
• Cloud Composer (if applicable)
• Pub/Sub
• IAM
• Cloud Monitoring
• Support implementation of scalable and reliable cloud‑native data architectures.

Data Engineering & Pipeline Development

• Develop, maintain, and automate data pipelines using Python and SQL.
• Build ETL / ELT workflows for ingesting, transforming, and processing structured data.
• Ensure data pipelines are efficient, reliable, and scalable.
• Support data integration workflows across cloud systems.

BigQuery Development & Optimisation

• Develop and optimise SQL queries for reporting and analytics workloads.
• Improve BigQuery performance, query efficiency, and cost optimisation.
• Support schema design, partitioning, clustering, and data modelling best practices.
• Assist with reporting workflows dependent on BigQuery datasets.

Cloud Operations & Support

• Monitor cloud workloads, pipelines, and scheduled jobs.
• Troubleshoot failures, performance issues, and operational incidents.
• Support cloud monitoring and alerting mechanisms.
• Participate in incident resolution and platform support activities.

DevOps / CI/CD Support

• Support CI/CD processes for deployment of cloud applications and data workflows.
• Work with version control and deployment automation tools.
• Assist in release deployment, environment management, and workflow automation.

Required Skills & Experience

• 2–4 years of relevant experience in cloud engineering / data engineering.
• Hands‑on experience with Google Cloud Platform (GCP).
• Strong experience with BigQuery.
• Good Python programming skills.
• Strong SQL development experience.
• Understanding of ETL / ELT pipeline development.
• Experience troubleshooting cloud/data pipeline issues.

Cloud & Platform Skills

Exposure to:

• BigQuery
• Cloud Storage
• Pub/Sub
• Cloud Functions
• IAM
• Monitoring & logging tools

DevOps / Deployment Skills

Basic working knowledge of:

• CI/CD pipelines
• Git / version control
• Deployment automation concepts
• Environment configuration and release workflows

Behavioural Skills

• Strong analytical and troubleshooting skills.
• Ability to work in a support‑driven engineering environment.
• Good communication and collaboration skills.
• Ability to work independently with ownership.
• Flexibility to work in an ON/OFF support model.

Educational Background

• Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or related discipline.

Good to Have

• Exposure to Airflow / Cloud Composer.
• Experience with cloud cost optimisation.
• Familiarity with Terraform or infrastructure automation.
• Experience in reporting / analytics support environments.

Pay: $500.00 – $650.00 per day

Work Location: Hybrid remote in Sydney NSW