🕒 10 days ago
Design and optimize secure, compliant data pipelines and delivery architecture, improving data quality and scalability while partnering with technology and business teams to meet enterprise information needs.
Marketing Data Engineer - Ad Tech (US hours)
📅 Aug 26
SQLPythonETLAPI Integrations
📜 Description
- Build and maintain API and ETL ingestion from DSPs, ad servers, and other advertising platforms.
- Normalize campaign data and maintain metric definitions across dashboards and reports.
- Manage cloud data warehouse structures and client data deliveries.
- Reconcile pipeline outputs with raw platform exports and investigate variances.
- Build automated data-quality checks, alerts, and monitoring for pipeline and dashboard health.
- Support platform migrations and partner on data definitions, mappings, and release validation.
🛠️ Requirements
- 4+ years in data engineering or analytics engineering with production ETL/API responsibility.
- Strong SQL and at least one production programming or scripting language, such as Python.
- Experience with cloud data warehouses such as BigQuery, Snowflake, or equivalent.
- Experience reconciling data across source systems and designing data-quality controls.
- Ability to own production pipelines, troubleshoot failures, and document data definitions.
- Preferred: advertising or marketing platform APIs, campaign data, DV360 or other DSPs, ad-server data, or marketing attribution feeds.
- Preferred: scheduled reporting and alerting, and secure client data delivery.
Full job 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.
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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