Marketing Data Engineer
Summary
A senior data engineer role focused on marketing analytics: building automated ingestion pipelines and ETL/ELT frameworks to consolidate ad-platform data (Google Ads, GA4, Meta, DV360) into a common model on GCP (BigQuery/Cloud Storage), with data quality monitoring to support marketing performance measurement and MMM readiness. Emphasis on marketing analytics over pure engineering, in a banking-i
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.