Senior Data Engineer – GCP/BigQuery & dbt (Hybrid, Contract)

Ingrity Pty; Sydney; Hybrid; AUD 120,000 - 160,000; Part time

Benefits offered by this job

Hybrid work arrangement

Job summary

INGRITY is seeking a Senior Data Engineer to join a Sydney-based data transformation initiative. You will design, build and optimise scalable data solutions using Google BigQuery, dbt and SQL, with a strong focus on data modelling and data quality.

Collaboration with data engineers, analysts and stakeholders will be key throughout the project lifecycle. You’ll work on robust data pipelines, model data for analytics, and ensure trusted data for reporting while applying modern engineering

Qualifications

• 5+ years of experience in Data Engineering.
• Strong expertise in Google BigQuery, SQL development and data warehousing.
• Advanced hands-on experience with dbt, including modelling transformations.

Responsibilities

• Design, develop and maintain scalable data pipelines and transformations using Google BigQuery and dbt.
• Build and optimise data models, including dimensional modelling, star schemas and data warehouse structures.
• Develop reusable SQL transformations to support analytics and reporting.
• Implement data quality checks, testing and validation across data pipelines and models.
• Optimise BigQuery performance, query efficiency and cost.
• Collaborate with engineering, analytics and business teams to translate requirements into scalable data solutions.
• Apply engineering best practices including version control, CI/CD, documentation and automated testing.

Skills

Google BigQuery

dbt

SQL

Data modelling

GCP

ETL/ELT

Data quality

Communication

Tools

Airflow

Cloud Composer

Git-based workflows

Job description

INGRITY is seeking a Senior Data Engineer to join a Sydney-based data transformation initiative. You will design, build and optimise scalable data solutions using Google BigQuery, dbt and SQL, with a strong focus on data modelling and data quality.

Collaboration with data engineers, analysts and stakeholders will be key throughout the project lifecycle. You’ll work on robust data pipelines, model data for analytics, and ensure trusted data for reporting while applying modern engineering