Remote AI-Driven Marketing Data Engineer

Power Digital Marketing; Santa Fe Capital; Remote; ARS 182,310,000 - 273,465,000; Full time

Benefits offered by this job

Remote work opportunity

Job summary

Power Digital Marketing seeks a Senior Data Engineer to own end-to-end marketing data pipelines, from ad platforms and CRMs to a BigQuery warehouse, enabling reliable reporting for education-focused clients.

You will build modular dbt/Dataform pipelines, ensure data quality, and empower Looker Studio dashboards and automated reports. Remote role for a marketing agency serving education and nonprofit sectors.

Qualifications

• 5+ years of hands-on data engineering experience, ideally in a marketing or agency environment.
• Experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel).
• Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modeling.
• Expertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelines.
• Python proficiency for custom API connections and pipeline automation.
• Experience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot).
• A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performance.
• Proficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregation.
• An analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences.
• Education marketing experience (traditional or online) is especially valued.

Responsibilities

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms into Adverity, build custom Python connectors, and architect scalable pipelines.
• Own CRM integration — build and maintain reliable CRM data connections so lead data flows into the warehouse.
• Own the data warehouse — route, optimize, and store data in Google BigQuery; design schemas with proper granularity and SCDs; manage partitions and storage.
• Own transformation & mapping — build SQL schemas that map multi-channel data in modular, version-controlled pipelines with clear conventions.
• Own CI/CD & data segregation — maintain CI/CD pipelines for robust, versioned releases and ensure multi-client data segregation.
• Enable the reporting layer — create data views for Looker Studio dashboards and automated reports; translate requirements into warehouse models.
• Drive data quality — monitor pipelines, resolve API breaks, minimize latency, and flag data quality risks to leadership.

Skills

5+ years data engineering

SQL

BigQuery

dbt/Dataform

Python

CRM integrations

Git

ETL pipelines

Adverity / ETL tools

Looker Studio

Tools

Adverity

Fivetran

Supermetrics

Funnel

Looker Studio

Job description

Power Digital Marketing seeks a Senior Data Engineer to own end-to-end marketing data pipelines, from ad platforms and CRMs to a BigQuery warehouse, enabling reliable reporting for education-focused clients.

You will build modular dbt/Dataform pipelines, ensure data quality, and empower Looker Studio dashboards and automated reports. Remote role for a marketing agency serving education and nonprofit sectors.