Mutt Data

Data Engineer Lead- Att

Rol remoto de Data Engineering con fit claro de ubicación del candidato.

Publicado11 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Argentina

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Partner with cross-functional teams to define BI and analyticsrequirements
Innovate with new tools to improve Mutt Data's infrastructure and processes.
Design dimensional data models and build scalable data pipelines
Develop data models to feed dashboards for teams across the org, as wellas client-facing analytics
Develop tools for the team and assist in tech migrations and model design.
Build scalable, high-performance data architectures.
Focus on code quality—review, document, test, and integrate CI/CD.
Lead complex projects end-to-end with drama free-launches.
Support internal and external reporting metrics creation.
Mentor junior members of the team.

Experience in Data Engineering, including building and optimizing data pipelines.
Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
English Advanced Level.
Experience working with dbt for data transformation and cloud platforms such as AWS. Familiarity with modern data stack tools, including Snowflake, is a plus.
Basic knowledge of Docker.
Experience with orchestration tools like Airflow or Prefect.
Familiarity with a BI visualization tool like Looker or Tableau.
Mentor junior members of the team.