Senior Data Engineers (GCP, DBT, Vertex AI)

Simplyai; Sydney; On-site; AUD 130,000 - 180,000; Full time

Job summary

Simplyai is seeking a motivated Senior Data Engineer in Sydney with strong GCP (BigQuery, Vertex AI), DBT and SQL experience to build and optimize scalable data pipelines and enable reliable data delivery across the organization.

You will design transformation workflows, collaborate with analysts, data scientists, and engineering teams, and implement CI/CD and data governance practices. Seniority implies potential team leadership on select client projects.

Qualifications

• 5–10 years of total IT experience (senior level).
• 1–2 years focused on DBT and SQL.
• Hands-on experience with BigQuery, Cloud Composer, and other GCP components.
• Proficient in DBT model development, testing, and documentation.
• Strong Python skills for data transformation and scripting.

Responsibilities

• Design, build, and manage scalable data pipelines using GCP services like BigQuery, Cloud Functions, and Cloud Storage.
• Develop and maintain transformation logic and data models in DBT.
• Ensure data quality, performance, and reliability across all pipeline stages.
• Collaborate with analysts, data scientists, and engineering teams to deliver data solutions.
• Implement best practices for data engineering, version control, and CI/CD.
• May lead a small team (3–5 engineers) for client projects.

Skills

GCP

BigQuery

DBT

SQL

Python

CI/CD

Git

Cloud Functions

Cloud Composer

Team leadership

Tools

Looker

Power BI

Tableau

Job description

Job Description

We are looking for a motivated and technically strong Senior Data Engineer with strong GCP (BigQuery, vertex AI), DBT and SQL experience with 5–15 years of IT experience and a proven track record of working with DBT for the past 1–2 years.

This role involves building and optimizing data pipelines, creating scalable transformation workflows, and enabling reliable data delivery across the organization.

Key Responsibilities

• Design, build, and manage scalable data pipelines using GCP services like BigQuery, Cloud Functions, and Cloud Storage
• Develop and maintain transformation logic and data models in DBT
• Ensure data quality, performance, and reliability across all pipeline stages
• Collaborate with analysts, data scientists, and engineering teams to deliver data solutions
• Implement best practices for data engineering, version control, and CI/CD
• May be required to lead small team (3-5) engineers for client projects

Requirements

• 5–10 years of total IT experience, with 1–2 years focused on DBT and SQL
• Hands‑on experience with BigQuery, Cloud Composer, and other GCP/Cloud components
• Proficient in DBT, including model development, testing, and documentation
• Solid SQL and Python skills for data transformation and scripting
• Advanced Python programming skills for complex data processing and development tasks
• Familiarity with Git and CI/CD tools
• Strong problem‑solving and communication skills
• Australian work authorisation will be considered on a case‑by‑case basis

Nice to Have

• Experience with data orchestration tools like Apache Airflow
• Exposure to BI tools such as Looker, Power BI, or Tableau
• Understanding of data governance, security, and compliance principles