Job Description

Build and maintain automated data ingestion pipelines.

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Integrate data from:

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Other digital advertising systems

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Agency-provided datasets and reports

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Design scalable ETL/ELT frameworks.

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Standardise data from disparate sources into a common data model.

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Manage varying refresh frequencies (daily, weekly, monthly).

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Develop data quality rules and monitoring.

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Implement data transformation and enrichment processes.

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Support future analytics initiatives including marketing performance measurement and MMM readiness.

Mandatory Skills 7+ years data engineering experience.n

Solid SQL expertise. Query optimization.

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Experience building API-based integrations.

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Experience with cloud-based data platforms (BigQuery & Cloud Storage preferred).

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CI/CD and DevOps familiarity.

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Experienced in analyse with Google Ads, GA4, Meta and DV360 (with GA4 being the strongest preference.

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Higher focus on Marketing analytics experience and exposure to GCP, lower focus on strong engineering experience

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Banking industry experience

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Having AI skills and are comfortable with adoption of AI (not expected to be experts but would need to know how to use it).

Preferred Skillsn

Customer analytics exposure.

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Marketing attribution and campaign reporting knowledge.

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📌 Marketing Data Engineer (Sydney)
🏢 Csmart International
📍 Sydney