Analytics Engineer – 6–12 Month Contract
Location:
Sydney (Hybrid)
Duration:
6–12 months
Day Rate:
$750-900 a day inc super
Our enterprise client is seeking an experienced
Analytics Engineer
to join their high-performing Data \& Analytics team on an initial
6–12 month contract
. The successful candidate will play a key role in transforming raw data into trusted, scalable models that drive insight and enable better business decisions across the organisation.
This role sits at the intersection of data engineering and analytics - ideal for someone who enjoys building robust data pipelines, designing efficient transformation layers, and collaborating closely with business stakeholders to deliver value through data.
Key Responsibilities
Develop, maintain, and optimise
data models
and
pipelines
using
dbt
and
SQL
.
Work within a
BigQuery
environment to design and implement scalable data warehousing solutions.
Manage orchestration and workflow scheduling with
Airflow
.
Write clean, efficient
Python
scripts for automation and data transformation.
Collaborate with data analysts, engineers, and business teams to ensure data reliability and accessibility.
Apply software engineering best practices — version control, testing, and documentation — across all development.
About You
4+ years of experience as an
Analytics Engineer
or
Data Engineer
in a modern cloud environment.
Strong hands-on experience with
BigQuery
,
dbt
,
SQL
, and
Airflow
(or similar orchestration tools).
Competent in
Python
for scripting and workflow automation.
Proven track record delivering scalable, production-grade data models and pipelines.
Excellent communication skills and experience working within cross-functional teams.
Why Join
Join an
enterprise-scale data environment
with a modern stack and strong data culture.
Work on
high-impact projects
that shape business decision-making.
Flexible
hybrid work model
and collaborative team culture.
Potential for
extension or conversion
for high-performing contractors.
Interested?
If you’re a hands-on Analytics Engineer who thrives in fast-paced, data-driven environments and enjoys solving complex challenges, we’d love to hear from you.