Senior Data Engineer: Marketing Analytics & Bigquery Etl

Aesa (A-Evangelista Sa); La Pampa; Remote; ARS 136,310,000 - 196,892,000; Full time

Job summary

Aesa (A-Evangelista Sa) is seeking a Senior Data Engineer (Marketing-oriented) to own end-to-end data pipelines, from ad platforms through Adverity into BigQuery, with dbt/Dataform transformations and Looker Studio dashboards.

You will collaborate with the Data and Analytics team to scale reporting for education and nonprofit clients, ensure data quality, and implement CI/CD, data segregation, and reliable CRM integrations (Slate, Salesforce, HubSpot).

Qualifications

• 5+ years of hands-on data engineering experience in marketing/agency contexts.
• Experience configuring datastreams, transformations, and destinations in Adverity or similar ETL tools.
• Strong SQL and BigQuery experience with transformation, partitioning, and modeling.
• Proficiency with dbt or Dataform for modular SQL pipelines.
• Python for API connections and automation.
• CRM data flows and integrations (Slate, Salesforce, HubSpot).

Responsibilities

• Own data ingestion & pipeline architecture from ad platforms into Adverity and beyond.
• Own CRM integration and ensure clean lead/enrollment data in warehouse.
• Own the data warehouse in BigQuery with scalable schemas and cost management.
• Own transformation pipelines with dbt/Dataform and standardized naming.
• Maintain CI/CD pipelines and data segregation across multi-client environments.
• Enable the reporting layer with Looker Studio dashboards and Sheets reports.

Skills

SQL

BigQuery

Python

Data integration

Tools

Adverity

Fivetran

Supermetrics

Funnel

dbt

Dataform

Slate

Salesforce

HubSpot

Job description

BigQuery

Data Engineer (Marketing-oriented) | Remote for Marketing Agency for Education

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.

Company Overview

Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth.

Your Role

The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth. You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily. Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.

You’ll

• Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard
• Own CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouse
• Own the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performance
• Own transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled, documented dbt or Dataform pipelines, with standardized naming conventions and metric definitions across platforms and clients
• Own CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions, automated testing) for robust, version-controlled releases, and enforce strict data segregation across multi-client environments
• Enable the reporting layer — create clean, performant data views built specifically for fast Looker Studio dashboards and automated Google Sheets reports, and partner with the Data and Analytics Manager and client teams to translate reporting requirements into warehouse models
• Drive data quality — monitor pipeline health, resolve API breaks, minimize latency, implement validation frameworks and automated testing, troubleshoot discrepancies to root cause across source/warehouse/BI layers, and proactively flag data quality risks to leadership

You Bring

• 5+ years of hands‑on data engineering experience, ideally in a marketing or agency environment
• Strong 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