Semi Senior Data Engineer

Monks; Buenos Aires; Presencial; ARS 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Monks is seeking a Semi Senior Data Engineer in Buenos Aires to design and build scalable data solutions for digital marketing. You will work with Analytics and Solutions Engineering on end-to-end data engineering—from discovery to deployment—supporting reporting and analytics use cases.

You will develop robust pipelines, reconcile data across sources, and contribute to client projects, with a focus on data quality and scalable cloud infrastructure. Hybrid work with a collaborative team at Monks.

Formación

• Bachelor’s or Master’s degree in information engineering, CS, applied math, or related field.
• 2-3 years of analytics/data experience in marketing, customer, and business apps.
• Hands-on experience with SQL and Python and cloud products.
• Experience building data pipelines with ETL/ELT tools and data architectures.
• Familiar with Agile and DataOps practices.
• Experience with media/advertising data is a plus.
• Ability to work independently and in a team.

Responsabilidades

• Design, build, and maintain dbt models integrating marketing/advertising data across DSPs and third-party sources.
• Develop cross-platform metric allocation logic to support monthly reporting and attribution.
• Create ingestion pipelines from diverse sources including cloud transfers and vendor APIs.
• Configure and evolve GCP infrastructure with Terraform; collaborate on deployment standards.
• Lead migration of legacy ingestion to scalable Dataflow/Cloud Run solutions.
• Maintain observability and alerting across the stack using Cloud Monitoring.
• Manage releases across QA, STG, and PROD with GitHub Actions.
• Produce documentation and runbooks; communicate with client-facing teams.

Conocimientos

SQL

Python

Data modeling

ETL/ELT

Cloud platforms

Agile

Looker

LookML

Educación

Bachelor’s or Master’s degree in a quantitative field

Herramientas

Databricks

AWS

Azure

Google Cloud Platform

dbt

Terraform

GitHub

GitHub Actions

BigQuery

Cloud Run

Descripción del empleo

Semi Senior Data Engineer • Buenos Aires Argentina

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers ).

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: 12409

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 global 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 Wave™: Global Marketing Services, 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, Monks was also awarded Business Intelligence Group’s 2025 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 (2025), runner‑up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). 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.