Marketing Data Engineer - Ad Tech (US hours)

🏢 VirtuHire · all 45 jobs
📍 South Africa
📅 Posted Oct 30, 2026 · via Himalayas
✅ Verified open — last confirmed 1h ago
🏷 Marketing: Data Engineering, Adtech, Analytics Engineering, Data Engineering, Campaign Analysis, Ad Tech Engineer +6 more
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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.

Originally posted on Himalayas

Flights + hotels

This role requires you to be in South Africa. If that means relocating or flying in, it is worth checking fares before you commit to a start date.

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