Semi-Senior Data Engineer

2d2 days ago

Monks

Buenos Aires, AR · Full-time

About this 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 Analytics and Solutions Engineering teams, the role covers data engineering from discovery through deployment. Monks connects brands to nearly 6,000 digital specialists across 57 hubs in 33 countries.

Daily work centers on developing robust data pipelines and analytics-ready data models across DSPs, ad servers, and third-party sources. Responsibilities include data discovery, ingestion, transformation, orchestration, and ensuring quality and reconciliation across heterogeneous datasets. The position also supports cross-platform metric allocation and incrementality reporting.

Colleagues come from varied backgrounds in a digital-first marketing and advertising services environment. The single-P&L model gives seamless access to content, data, and technology talent. Everyone is encouraged to contribute their perspective while building solutions that change industry practices.

Team members participate in client project phases including requirements clarification, task planning, estimation, and solution recommendations. The focus remains on measurement workflows and analytics use cases that deliver client value. Opportunities exist to refine data infrastructure on major cloud platforms.

Requirements

Strong programming skills in SQL, Python, or other programming languages.
Experience with cloud platforms such as Databricks, AWS, Azure, or Google Cloud Platform.
Strong knowledge of cloud infrastructure on GCP including BigQuery, Cloud Storage, Cloud Run Jobs, Dataflow, and BigQuery Data Transfer Service.
Experience with data modeling and transformation tools such as dbt for BigQuery.
Familiarity with media reporting UIs/APIs such as DV360, SA360, or Meta.
Bachelor’s degree in information engineering, computer science, applied mathematics, engineering, or a related quantitative field.
2+ years of experience with analytics or marketing analytics techniques.

Responsibilities

Design, build, and evolve scalable data solutions for digital marketing and advertising use cases.
Perform data engineering activities from discovery and ingestion to transformation, orchestration, and deployment.
Develop robust data pipelines and analytics-ready data models across DSPs, ad servers, and third-party sources.
Contribute to client project phases including requirements clarification, task planning, estimation, and solution recommendations.
Ensure data quality and reconciliation across heterogeneous datasets.
Support measurement workflows such as cross-platform metric allocation and incrementality/attribution reporting.

Benefits

Work within a diverse group of colleagues with different backgrounds and perspectives.
Opportunity to build solutions with potential to change the heart of the industry.