Marketing Data Engineer — Remote for Education & Nonprofit

Atomic Hr; Rosario; A distancia; ARS 105.638.000 - 181.094.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote role

High-visibility role in analytics

Competitive compensation

Descripción de la vacante

Endava seeks a Data Engineer (Marketing-oriented) to own data ingestion, CRM integration, and warehouse modeling for education-focused clients. You will build modular pipelines, transform data with dbt/Dataform, and enable fast Looker Studio reporting.

Remote role with a high-visibility seat on the data analytics team; experience with marketing metrics and multi-client data environments is valued. Strong Python and API skills are required.

Formación

• 5+ years of hands-on data engineering experience in marketing/agency environments.
• Strong SQL with BigQuery experience in transformation, partitioning, modeling.

Responsabilidades

• Own data ingestion & pipeline architecture from paid media platforms into Adverity
• Own CRM integration to ensure clean lead and enrollment data flow into the warehouse
• Own the data warehouse in BigQuery with scalable schema design
• Develop modular, version-controlled dbt/Dataform pipelines with clear naming conventions
• Maintain CI/CD pipelines (GitHub Actions) and enforce data segregation
• Create performant data views for Looker Studio dashboards and automated reports
• Monitor data quality and resolve pipeline issues across source/warehouse/BI layers

Conocimientos

SQL

BigQuery

dbt/Dataform

Python

API integrations

CRM data flows

Git

Looker Studio

Herramientas

Adverity

Fivetran

Salesforce

HubSpot

Descripción del empleo

Endava seeks a Data Engineer (Marketing-oriented) to own data ingestion, CRM integration, and warehouse modeling for education-focused clients. You will build modular pipelines, transform data with dbt/Dataform, and enable fast Looker Studio reporting.

Remote role with a high-visibility seat on the data analytics team; experience with marketing metrics and multi-client data environments is valued. Strong Python and API skills are required.