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VirtuHire

Marketing Data Engineer - Ad Tech (US hours)

VirtuHire South Africa

Staffing and Recruiting · 11-50 employees

5 h ago
Remote data-engineer Mid (2-5 yrs) Full-time South Africa
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About the role

The Marketing Data Engineer will own data pipelines and ensure data quality for dashboards and reporting by managing API/ETL ingestion from advertising platforms. They will also reconcile pipeline outputs, maintain metric definitions, and build automated monitoring for data health.

What they look for

Data Engineering SQL Python ETL API Integration BigQuery Snowflake Data Quality Data Warehousing Ad Tech Dashboard Development Data Reconciliation Cloud Infrastructure Marketing Analytics Programmatic Advertising

Requirements

Candidates must have 4+ years of experience in data engineering with production ETL/API responsibility and strong proficiency in SQL and Python. Experience with cloud data warehouses and advertising platform APIs is highly preferred.

Full description

Our client in the US is looking for a Marketing Data Engineer to own the data pipelines and data-quality foundation that power their dashboards, pacing outputs and recurring reporting.

Core responsibilities• Build and maintain API/ETL ingestion from DSPs, ad servers and other advertising platforms.

  • Normalize campaign data and maintain metric definitions used across dashboards and reporting.
  • Manage cloud-warehouse structures and client data deliveries where required.
  • Reconcile pipeline output against raw platform exports and investigate material variance.
  • Build automated data-quality checks, alerting and monitoring for pipeline/dashboard health.
  • Manage service-account/API credential workflows in the clients owned environments.
  • Support platform migrations and rebuild data integrations without reporting discontinuity.
  • Partner with Dashboard Developer and Programmatic Lead on definitions, mapping and release validation.

Must-have profile

  • 4+ years in data engineering/analytics engineering with production ETL/API responsibility.
  • Strong SQL plus at least one production programming/scripting language such as Python.
  • Experience with cloud data warehouses such as BigQuery, Snowflake or equivalent.
  • Experience reconciling data across multiple source systems and designing data-quality controls.
  • Ability to own production pipelines, troubleshoot failures and document data definitions clearly.

Preferred experience

  • Direct experience with advertising/marketing platform APIs and campaign data.
  • Experience with DV360 or other DSP data models, ad-server data or marketing attribution feeds.
  • Experience with scheduled reporting/alerting and secure client data delivery.

What success looks like

  • Reporting data is reliable and reconciles within agreed tolerance.
  • Pipeline failures or data lag are detected before clients notice.
  • Platform changes do not create reporting gaps.
  • Metric definitions remain consistent across dashboards and recurring reports.

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