Senior Data Engineers (GCP, DBT, Vertex AI)
Summary
Senior Data Engineer at Simplyai in Sydney designing, building, and optimising data pipelines and DBT transformation workflows on Google Cloud (BigQuery, Vertex AI), ensuring data quality and reliable delivery, with possible leadership of a small 3-5 engineer team on client projects. Pays AUD 140k-180k.
Salary: $140,000 – $180,000 per year
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