Marketing Data Engineer

Profusion; Sydney; On-site; AUD 148,000 - 221,000; Full time

Job summary

Profusion's Financial Services client is building a foundational marketing data platform from the ground up to power next-generation analytics. We seek an experienced Data Engineer to design robust, scalable ingestion pipelines and data quality controls that ingest from diverse marketing sources.

You will architect scalable ETL/ELT frameworks, manage daily, weekly and monthly refresh cadences, and contribute to MMM initiatives. Sydney-based, 8-month day-rate contract with three days onsite.

Qualifications

• Strong SQL skills and query optimisation.
• Proven experience building API-based integrations.
• Experience with cloud data platforms (BigQuery, Cloud Storage).
• Familiarity with CI/CD and DevOps practices.

Responsibilities

• Design and build automated data ingestion pipelines from marketing sources.
• Architect scalable ETL/ELT frameworks.
• Manage daily, weekly, and monthly refresh cadences.
• Build data quality rules, validation checks and monitoring.
• Lay groundwork for MMM and marketing performance measurement.
• Deliver production-grade ingestion framework and documentation.

Skills

SQL skills

API integrations

BigQuery

CI/CD DevOps

Job description

Location: Sydney, 3 days onsite. Type: Initial 8-month day rate contract

Profusion's Financial Services client is building a foundational marketing data platform from the ground up — one that will ingest, standardise and consolidate data from across their digital marketing and agency ecosystem to power the next generation of marketing analytics.

They're looking for an experienced Data Engineer who thrives on building robust, scalable data infrastructure and wants to make a tangible impact on how a marketing function understands and measures performance.

What You'll Do

• Design and build automated data ingestion pipelines from a range of marketing sources, including:
• Other digital advertising systems
• Agency-provided datasets and reports
• Architect scalable ETL/ELT frameworks that can grow with the business
• Manage varying refresh cadences — daily, weekly and monthly — reliably and at scale
• Build data quality rules, validation checks and monitoring
• Implement data transformation and enrichment processes
• Lay the groundwork for future initiatives such as marketing performance measurement and Marketing Mix Modelling (MMM)

What You Bring

Must-haves:

• Strong SQL skills, including query optimisation
• Proven experience building API-based integrations
• Experience with cloud-based data platforms (BigQuery and Cloud Storage preferred)
• Familiarity with CI/CD and DevOps practices

Nice-to-haves:

• Experience with marketing data platforms
• Direct experience with Google Ads, GA4, Meta or Adobe data
• Exposure to customer analytics
• Understanding of marketing attribution and campaign reporting

What You'll Deliver

• An automated, production-grade ingestion framework
• Clear data catalogue and documentation
• A practical data quality framework

Why Join:

This is a rare opportunity to build a marketing data platform from the ground up rather than inherit legacy infrastructure — shaping the standards, architecture and best practices that will underpin marketing analytics for years to come.