Senior Data Engineer - Ingestion & Analytics Pipelines

Unavailable; Tandil; A distancia; ARS 181.094.000 - 241.458.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work flexibility

USD contractor payment

Learning & development resources

Referral program

Descripción de la vacante

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a customer-facing Data & Analytics function. You will build scalable pipelines from ad accounts and CRM into Adverity, through to a Google BigQuery warehouse, with modular dbt/Dataform transformations and Looker Studio dashboards.

You’ll work with Python/Go, SQL/NoSQL, and containerized services (Docker/Kubernetes) across AWS, Azure, and GCP.

Formación

• 5+ years as a data engineer, preferably in marketing/agency settings.
• Experience configuring data streams and ETL pipelines (Adverity or similar).
• Strong SQL with BigQuery, and DBT/Dataform tooling.
• Python for custom connectors and automation.
• CRM data flows (Slate/Salesforce/HubSpot) integration experience.
• Understanding of marketing metrics (ROAS, CPA, CAC) and platform schemas.
• Git-based workflows and multi-client data environments.

Responsabilidades

• Own ingestion pipelines and pipeline architecture from source systems to dashboards.
• Integrate CRM, ad platforms, and data sources into a central warehouse.
• Design and optimize Google BigQuery schemas and models.
• Build modular, version-controlled SQL transformations in dbt/Dataform.
• Maintain CI/CD, testing, and data segregation across clients.
• Enable fast Looker Studio dashboards and automated reports.
• Monitor data quality and troubleshoot across sources, warehouse, and BI.

Conocimientos

Data engineering

SQL - BigQuery

dbt/Dataform

Python

CRM data flows

Marketing metrics

Git & CI/CD

Communicating with non-technical teams

Herramientas

Adverity

Fivetran

Dataform

dbt

BigQuery

Looker Studio

Python

GitHub Actions

Descripción del empleo

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a customer-facing Data & Analytics function. You will build scalable pipelines from ad accounts and CRM into Adverity, through to a Google BigQuery warehouse, with modular dbt/Dataform transformations and Looker Studio dashboards.

You’ll work with Python/Go, SQL/NoSQL, and containerized services (Docker/Kubernetes) across AWS, Azure, and GCP.