Data Engineer â Permanent, Full Time, On-Site (Port Melbourne)
This is a
full-time, permanent, on-site role
where youâll play a key part in designing, building, and maintaining data pipelines that enable business insight and digital innovation.
If youâre passionate about transforming data into value, enjoy working hands-on with cloud technologies, and thrive in a collaborative environmentâthis role is for you.
About the Role
As a
Data Engineer
, youâll design and manage data pipelines and integrations across multiple platforms, helping our clients make smarter, data-driven decisions.
The role is based with out client on a full time permanent basis. The Data Engineer will be fully supported by the IT Manager, and work closely with Analysts, Developers, and business stakeholders to ensure the reliability, scalability, and quality of data solutions that underpin enterprise performance.
Key Responsibilities:
Design, build, and manage robust
ETL/ELT data pipelines
.
Develop and maintain
data models, integrations, and warehouse solutions
using Azure technologies.
Collaborate with stakeholders to translate business requirements into scalable technical designs.
Support data visualisation and reporting initiatives using
Power BI and DAX
.
Optimise data flow and automation through scripting in
C#, Python, and PySpark
.
Ensure best practices for
data governance, quality, and security
across environments.
About You
You are an experienced data professional with a passion for solving complex problems through smart data engineering. You balance technical expertise with business awareness and communicate clearly with both technical and non-technical audiences.
What Youâll Bring:
Proven expertise in
ETL/ELT pipeline design and management
.
Advanced skills in
SQL Server
.
Hands-on experience with
Azure Data Factory
and
Databricks
.
Strong coding proficiency in
C#, Python, and PySpark
.
Experience building
interactive dashboards and reports
with
Power BI and DAX
.
Excellent
analytical thinking
,
problem-solving
, and
communication skills
.
Bachelorâs degree in
Computer Science, IT
, or a related discipline.
Minimum
5 yearsâ experience
in a data engineering or similar technical role.
Express your interest by applying online following the prompts below.