Marketing Data Engineer - Ad Tech (US hours)

VirtuHire Open · verified Sep 10, 2026

Remote South Africa Mid-level Marketing Analytics

Mid-level Marketing Analytics role at VirtuHire. Remote, South Africa.

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Build and maintain API and ETL flows that collect data from DSPs, ad servers, and other advertising platforms
Standardize campaign data and keep metric definitions consistent across dashboards and recurring reports
Manage cloud warehouse structures, client data deliveries, and comparisons with raw platform exports
Set up automated quality checks, alerts, and monitoring to catch pipeline or dashboard issues
Support migrations and coordinate mappings, definitions, and release checks with dashboard and programmatic teams

What you bring

At least four years of data or analytics engineering with production ETL and API ownership
Strong SQL skills plus production experience in Python or another programming language
Hands-on work with BigQuery, Snowflake, or a comparable cloud data warehouse
Experience comparing multiple data sources, creating quality controls, troubleshooting pipelines, and documenting definitions

Who this fits

You’ll thrive if you can own production data workflows, investigate discrepancies, and keep reporting logic clear and consistent. The role is remote from South Africa and follows US hours while supporting a US client. Advertising platform API, DSP, ad-server, attribution, reporting, or secure data-delivery experience would align well with the work.

From the employer

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.