Semi Senior Data Engineer • Buenos Aires Argentina
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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 Semi 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.
2-3 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: *****
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc.
With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of integral Marketing and Technology Services to redefine how brands interact with the world.
Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time.
By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long‐term impact.
Monks was named a Contender in The Forrester WaveTM: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies ********) and remains the only partner featured in AdExchanger's Programmatic Power Players list every year ********).
Named Adweek's first AI Agency of the Year *****) and The One Show's inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group's **** Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories.
As a trusted partner to cutting‐edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year *****), runner‐up for the Adobe Firefly Partner Award *****), and Workato's AI Visionary Customer Impact Award *****).
Additionally, 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.
Monks does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
#J-*****-Ljbffr

📌 Semi Senior Data Engineer (Buenos Aires)
🏢 Monks
📍 Buenos Aires