Senior Data Engineer: Cloud Data Pipelines & Analytics

Monks; Buenos Aires; Hybrid; ARS 137,078,000 - 198,002,000; Full time

Job summary

Monks is seeking a Senior Data Engineer to design, build, and evolve scalable data solutions for marketing and advertising. You’ll work closely with Analytics and Solutions Engineering to deliver end-to-end data pipelines, data models, and measurement-ready data across multiple platforms.

You’ll contribute to client projects, define requirements, plan tasks, and ensure data quality across heterogeneous datasets. Strong SQL/Python, cloud experience, and collaboration skills are essential.

Qualifications

• Bachelor’s or Master’s degree in information engineering, computer science, applied mathematics, engineering, or related quantitative field, or equivalent work experience.
• 4+ years of experience with analytics for marketing, customer, and business applications.
• Hands-on SQL and Python with cloud product experience.
• Experience building data pipelines and data architecture patterns.
• Familiarity with Agile methodologies and DataOps practices.
• Experience with media/advertising data is a plus.

Responsibilities

• Design, build, and maintain dbt models that integrate marketing and advertising data across DSPs, ad servers, and third-party platforms.
• Develop cross-platform metric allocation to support monthly reporting and attribution use cases.
• Build ingestion pipelines from diverse sources, including cloud-to-cloud transfers and vendor APIs.
• Own and evolve GCP infrastructure using Terraform, following modular patterns.
• Lead migration of legacy ingestion patterns to scalable solutions on Dataflow and Cloud Run.
• Configure observability and alerting across the stack using Cloud Monitoring and Terraform.
• Manage release lifecycle across QA, STG, and PROD with GitHub Actions.
• Produce technical docs, runbooks, and design artifacts for client projects.
• Collaborate with analytics teams to translate requirements into reliable data products.

Skills

SQL

Python

NoSQL

ETL/ELT

Data modeling

Cloud platforms

dbt

Terraform

GitHub Actions

Looker/LookML

AGILE / DataOps

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in CS/Engineering/Math or related field

Tools

Databricks

AWS

Azure

Google Cloud Platform

BigQuery/Storage/Dataflow/Data Transfer

dbt (BigQuery)

Terraform

GitHub/GitHub Actions

Looker/LookML

Job description

Monks is seeking a Senior Data Engineer to design, build, and evolve scalable data solutions for marketing and advertising. You’ll work closely with Analytics and Solutions Engineering to deliver end-to-end data pipelines, data models, and measurement-ready data across multiple platforms.

You’ll contribute to client projects, define requirements, plan tasks, and ensure data quality across heterogeneous datasets. Strong SQL/Python, cloud experience, and collaboration skills are essential.