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Open nowPosted 39 days ago

Marketing Data Engineer - Ad Tech (US hours)

Workable (global search)107,990 open roles

Where
South Africa
Work mode
Remote
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Your applicationOpen nowMarketing Data Engineer - Ad Tech (US hours)Workable (global search) · South Africa

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 39 days ago

Workable (global search) median: 6 days open

The posting

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.

Requirements

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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