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
- Robust 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
- Google Ads, GA4, Meta or Adobe data
- Customer analytics exposure
- Marketing attribution and campaign reporting knowledge
📌 Data Engineer – Marketing Data Platform (Sydney)
🏢 Outsized
📍 Sydney
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