Marketing Data Engineer

Csmart International; Sydney; Hybrid; AUD 140,000 - 200,000; Full time

Job summary

Csmart International in Sydney is seeking a senior data engineer to build and maintain automated data ingestion pipelines across advertising systems and agency datasets. You will design scalable ETL/ELT frameworks, standardise data into a common model, and manage varying refresh frequencies.

The role emphasises marketing analytics with GA4, Google Ads, DV360, BigQuery and GCP. You should have 7+ years of experience, strong SQL, API integrations, CI/CD, and banking industry exposure; AI

Qualifications

• 7+ years data engineering experience.
• Strong SQL and query optimization.
• Experience with API-based integrations.
• Cloud-based data platforms (BigQuery & Cloud Storage preferred).
• CI/CD and DevOps familiarity.
• Experience with Google Ads, GA4, DV360 (GA4 strongest preference).
• Marketing analytics focus with exposure to GCP; banking industry experience.
• AI skills and readiness to adopt AI tools.

Responsibilities

• Build and maintain automated data ingestion pipelines.
• Integrate data from advertising systems and agency datasets/reports.
• Design scalable ETL/ELT frameworks and standardise data into a common model.
• Manage varying refresh frequencies (daily, weekly, monthly).
• Develop data quality rules and monitoring.
• Implement data transformation and enrichment processes.
• Support analytics initiatives including marketing performance measurement and MMM readiness.

Skills

Strong SQL expertise

API integrations

CI/CD & DevOps

Marketing analytics

GA4

DV360

GCP

AI awareness

Banking domain experience

Tools

BigQuery

Cloud Storage

Google Ads

GA4

DV360

Job description

Build and maintain automated data ingestion pipelines.

Integrate data from:

Other digital advertising systems

Agency-provided datasets and reports

Design scalable ETL/ELT frameworks.

Standardise data from disparate sources into a common data model.

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

Develop data quality rules and monitoring.

Implement data transformation and enrichment processes.

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

Mandatory Skills

7+ years data engineering experience.

Strong SQL expertise. Query optimization.

Experience building API-based integrations.

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

CI/CD and DevOps familiarity.

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

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

Banking industry experience

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 Skills

Customer analytics exposure.

Marketing attribution and campaign reporting knowledge.