We are seeking an experienced data engineer to support a foundational
marketing data platform
that ingests, standardises and consolidates data from
digital marketing channels
and
agency sources
. This is a strategic initiative for a forward-thinking marketing organisation seeking to establish unified
marketing analytics
,
performance measurement
, and
attribution
capability, working closely with data already available in the platform to generate insight and support decision-making.
You will focus on
analysing and interpreting
marketing data from
Google Ads
,
GA4
,
DV360
,
Meta
, and
agency-provided datasets
, with
read-only access
to validate performance marketing reporting. You will design
SQL logic
to join the customer journey from marketing touch through to application, account opening, funding, and card usage, and build
attribution models
as prototype logic for the broader data team to productionise. Success will be measured by the accuracy of
attribution modelling
, the reliability of
reconciliation
between platform-reported and actual business outcomes, and the clarity of insight delivered to stakeholders.
Key Activities
Marketing Platform Analysis:
Analyse
Google Ads
,
GA4
,
DV360
, and
Meta
data, including
campaign hierarchies
,
conversion definitions
, and
attribution windows
, with
read-only publisher access
to validate performance marketing reporting.
Attribution Modelling:
Write
BigQuery SQL
for
first-paid
,
last-paid
, and
assisted attribution
logic, as prototype logic for the broader team to productionise.
Journey Mapping:
Design the
join path
from marketing journey through to application, account opening, funding, and card usage.




Reconciliation & Data Quality:
Reconcile
publisher-reported conversions against GA4 and actual business outcomes; define
coverage
,
match-rate
, and
data quality measures
.
Reporting & Insight:
Translate attribution and reconciliation findings into transparent, actionable insight for marketing and business stakeholders.
Your Background
Strong
SQL proficiency
, including
query optimisation
and complex joins.
Hands-on experience analysing data from
Google Ads
,
GA4
,
Meta
, and
DV360
, including
campaign hierarchies
,
conversion definitions
, and
attribution windows
.
Experience with
marketing attribution modelling
(first-paid, last-paid, assisted, or similar frameworks).
Exposure to
Google Cloud Platform
, particularly
BigQuery
, for analytics and reporting.
Experience working in
banking or financial services
, or on banking/financial services client engagements.
Experience with
data reconciliation
and defining
data quality
or
coverage measures
.
Prior experience building or working with
marketing data platforms
or
customer data infrastructure
.
Background in
customer analytics
or
campaign performance reporting
.
Familiarity with
dbt
or similar transformation tools.
7+ years of data engineering experience
, with expertise designing and maintaining
production data platforms
.
Experience building
API-based integrations
and working with
third-party data sources
.
Experience with
cloud-based data platforms
, particularly
BigQuery and Google Cloud Storage
, at an infrastructure level.
Experience with
ETL/ELT orchestration
,
connector maintenance
, and
CI/CD
practices.
#J-*****-Ljbffr

📌 Marketing Data Analyst (New South Wales)
🏢 Outsized
📍 New South Wales