Senior Marketing Data Engineer & Analytics Architect Remote

Accenture Plc; Santa Fe Capital; Remote; ARS 167,117,000 - 227,887,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Job summary

Accenture plc is seeking a Senior Data Engineer (Marketing-oriented) for a remote role supporting education marketing clients. You’ll own end-to-end data pipelines from ad platforms and CRMs into a BigQuery warehouse, building modular dbt/Dataform transformations and enabling Looker Studio dashboards.

The role emphasizes data quality, CI/CD, multi-client data segregation, and scalable reporting. Strong SQL, Python, and experience with marketing analytics are essential.

Qualifications

• 5+ years of hands-on data engineering experience, preferably in marketing or agency.
• Strong SQL with BigQuery experience in transformation and modeling.
• Experience with dbt or Dataform and modular pipelines.
• Python for API connections and pipeline automation.
• CRM data flows experience (Salesforce, HubSpot, Slate).
• Understanding marketing metrics (ROAS, CPA, CAC) and paid platform schemas.

Responsibilities

• Own data ingestion and pipeline architecture across paid media platforms.
• Build CRM data connections (Slate, Salesforce, HubSpot) to warehouse.
• Manage the data warehouse in Google BigQuery with scalable schemas.
• Create SQL transformations in dbt/Dataform with consistent naming.
• Maintain CI/CD pipelines (GitHub Actions) and data segregation.
• Enable fast Looker Studio dashboards and automated Sheets reports.

Skills

SQL

Python

BigQuery

dbt/Dataform

ETL/ELT

Tools

Adverity

Fivetran

Looker Studio

GitHub Actions

Job description

Accenture plc is seeking a Senior Data Engineer (Marketing-oriented) for a remote role supporting education marketing clients. You’ll own end-to-end data pipelines from ad platforms and CRMs into a BigQuery warehouse, building modular dbt/Dataform transformations and enabling Looker Studio dashboards.

The role emphasizes data quality, CI/CD, multi-client data segregation, and scalable reporting. Strong SQL, Python, and experience with marketing analytics are essential.