We are looking for a Data Engineer to build a marketing data platform from the ground up for a major banking and financial services organisation in Sydney, on an initial 6-month contract. Marketing data currently sits scattered across ad platforms, analytics tools and agency reports, with no single place to see it. You will design and build the ingestion layer, the common data model and the quality framework that brings it all together on Google Cloud, laying the foundation for marketing measurement and future MMM capability.
This is a greenfield build. You will make the architectural calls and own the platform end to end.
What you will do
Build and maintain automated ingestion pipelines from Google marketing platforms, Meta, other advertising systems and agency datasets
Design scalable ETL/ELT frameworks and orchestration
Standardise disparate sources into a unified marketing data model
Manage varying refresh cadences across daily, weekly and monthly feeds
Develop data quality rules, monitoring and alerting
Implement transformation and enrichment processes
Build the data catalogue and documentation
Set the foundation for marketing performance measurement and MMM readiness
What you will bring
7+ years of data engineering experience
Google Ads, GA4, Meta or Adobe data
Solid SQL and query optimisation
Python for data processing
Hands-on experience building API-based integrations
Cloud data platform experience, BigQuery and Cloud Storage preferred
Data modelling experience
ETL/ELT orchestration experience
CI/CD and DevOps familiarity
Nice to have
Marketing data platform experience
Customer analytics exposure
Marketing attribution and campaign reporting knowledge
📌 Data Engineer – Marketing Data Platform Sydney
🏢 Outsized
📍 Sydney
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