Senior Data Engineer

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

About us

Monks is a digital-first marketing and advertising services company connecting the dots across content, data & digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, Monks’ single-P&L model offers brands seamless access to a nearly 6,000-strong team of digital talent organized across 57 talent hubs in 33 countries.

With us, you'll find a diverse group of colleagues with different backgrounds and perspectives. We believe everyone has something of value to offer, and that sustaining a truly diverse, equitable and inclusive workplace begins with fostering an environment where people can be themselves, authentically, every day. We want to build something with the potential to change the heart of our industry, and we’d love to include your unique perspective.

About the role

The Senior Data Engineer will help design, build, and evolve scalable data solutions for digital marketing and advertising use cases. Working closely with our Analytics and Solutions Engineering teams, you will be responsible for end-to-end data engineering activities—from data discovery and ingestion to transformation, orchestration, and deployment—supporting reporting, measurement, and analytics use cases.

This role is centered on developing robust data pipelines and analytics-ready data models across multiple platforms (DSPs, ad servers, and third-party sources). You will also contribute to client project phases, including requirements clarification, task planning and estimation, and solution recommendations.

In addition, the role involves ensuring data quality, reconciliation across heterogeneous datasets, and supporting measurement workflows such as cross-platform metric allocation and incrementality/attribution reporting.

Tools

We are looking for someone experienced with (or familiar with) the following tools and technologies:

• Strong programming skills in SQL , Python , or other programming languages
• Experience with SQL and NoSQL databases
• Cloud platforms such as Databricks, AWS, Azure, or Google Cloud Platform
• Strong knowledge of cloud infrastructure , e.g. on GCP : BigQuery, Cloud Storage, Cloud Run Jobs, Cloud Monitoring, Dataflow, BigQuery Data Transfer Service, Storage Transfer Service
• Data modeling and transformation tools, such as dbt (including for BigQuery )
• Terraform (infrastructure as code)
• GitHub and GitHub Actions (CI/CD processes)
• Looker and LookML is a plus
• Knowledge of media reporting UIs / APIs (e.g., DV360, SA360, Meta ) is a plus

What we’re looking for

• A Bachelor’s or Master’s degree in informative engineering, computer science, applied mathematics, engineering, or a related quantitative field—or equivalent work experience.
• 4+ years of experience with any combination of analytics, marketing analytics, and analytical techniques for marketing, customer, and business applications.
• Hands-on experience with SQL and Python , along with experience using cloud products.
• Hands-on experience developing data pipelines using common ETL/ELT tools and building data architecture patterns.
• Familiarity with Agile methodologies and applying DataOps practices to build and deliver pipelines reliably.
• Experience working with media/advertising data is a plus
• Demonstrated ability to operate effectively independently and within a team

Responsibilities

• Design, build, and maintain dbt models that integrate marketing and advertising data across DSPs, ad servers, and third-party platforms—reconciling differences in granularity (e.g., placement-level vs. creative-level metrics) and resolving join-key quality issues.
• Develop and maintain business logic for cross-platform metric allocation (e.g., distributing spend and impressions across creatives) to support monthly reporting and incrementality/attribution use cases.
• Build and maintain ingestion pipelines from diverse external sources, including cloud-to-cloud transfers (e.g., AWS S3 → GCS ), Azure/SFTP drops , and vendor APIs , ensuring deduplication and data quality.
• Own and evolve GCP cloud infrastructure using Terraform , following established modular patterns and naming conventions; partner with platform teams on environment and deployment standards.
• Lead the migration of legacy ingestion patterns (e.g., BigQuery Data Transfers ) to scalable, maintainable solutions built on Dataflow and Cloud Run .
• Configure and maintain observability and alerting across the stack (e.g., dbt source freshness, Cloud Run job failures, BigQuery Data Transfer issues) using Cloud Monitoring , deployed via Terraform.
• Manage the release lifecycle across QA, STG, and PROD environments, including branching strategy, scheduled releases, and automated release-note generation via GitHub Actions .
• Produce and maintain high-quality technical documentation, runbooks , and design artifacts; review and curate client-facing release communications.
• Collaborate with analytics, measurement, and client-facing teams to translate reporting and measurement requirements into reliable data products.

#LI-Hybrid #LI-VG1 #LI-AS1 #ID:12400

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.
This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

… devices, and edge/cloud platforms* Apply AI/ML to IoT-generated data * Prepare technical documentation and research reports* ...... and commercial applications* Collaborate with R&D researchers, engineers, and technical professionals Who Should Apply? Master’s ...