XPT Software Australia Pty Ltd | Contract
Sydney , Melbourne , Brisbane, Australia | Posted on 10/06/2026
XPT SoftwareAustralia PTY Ltd, incorporated in ****, is a Software Services company
XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
We have 120+technocrats in Australia working at our clientlocations.
XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
Job Description
Job Overview
We are seeking an experienced
DBT Data Engineer with 8+ years of experience
in data engineering, data transformation, and cloud data platforms.
The ideal candidate should have strong hands-on expertise in
dbt (Data Build Tool), SQL, Python, data warehousing, and cloud data platforms
.
The role will focus on building scalable transformation pipelines, developing reliable data models, and implementing data quality and testing frameworks.
Key Responsibilities
Design, develop, and maintain scalable
data transformation pipelines using dbt
.
Develop complex
SQL-based data models
using dbt.
Build and maintain
staging, intermediate, and mart layers
following dbt best practices.
Implement
dbt models, macros, snapshots, seeds, tests, and incremental models
.
Develop reusable and optimized SQL transformations for large datasets.
Implement
data quality checks and automated testing
using dbt.
Build and maintain data lineage and documentation using
dbt documentation
.
Integrate dbt with cloud data platforms and enterprise data pipelines.
Optimize data models and SQL queries for performance and cost.
Implement incremental loading and
Change Data Capture (CDC)
strategies where required.
Work closely with Data Architects, Analysts,



BI Developers, and Business stakeholders.
Troubleshoot data pipeline and transformation failures in development and production environments.
Implement CI/CD processes for dbt deployments using Git and DevOps tools.
Follow data governance, security, quality, and engineering best practices.
Participate in code reviews, technical design discussions, and Agile ceremonies.
Must Have Skills
8+ years of overall Data Engineering experience
Strong hands-on experience with
dbt / dbt Core / dbt Cloud
Advanced
SQL
skills
Solid experience in
data warehousing and dimensional data modeling
Experience developing
dbt models, macros, snapshots, seeds, and tests
Strong understanding of
incremental models and materializations
Experience with
data quality and testing frameworks
Strong experience with
Git and CI/CD
Hands-on experience with at least one modern cloud data warehouse:
Snowflake
Databricks
Amazon Redshift
Google BigQuery
Strong understanding of data integration and transformation concepts
Experience with
Python
for data engineering/automation
Nice to Have
Experience with
AWS / Azure / GCP
Experience with
Airflow / Dagster / Prefect
Experience with
Snowflake
Experience with
Databricks / Delta Lake
Experience with
Amazon Redshift
Experience with
Fivetran / Matillion / Informatica
Experience with
Kafka or streaming data
Experience with
Terraform
Experience with
Docker
Experience with data governance and catalog tools
Experience working in
Agile/Scrum
environments
Technical Skills
Data Transformation:
dbt, dbt Cloud, dbt Core
Database/Warehouse:
Snowflake, Databricks, Redshift, BigQuery
Languages:
SQL, Python
ETL/ELT:
dbt, Airflow, Fivetran, Matillion
Data Modeling:
Star Schema, Snowflake Schema, Dimensional Modeling
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