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.