Senior Data Engineer for AI/ML Pipelines & Data Quality

Appnovation; Municipio de Esquel; Híbrido; ARS 181.700.000 - 272.550.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

AI platforms access

Inclusive culture

Career development

Collaborative environment

High-profile projects

Leadership access

Descripción de la vacante

Appnovation seeks a Senior Data Engineer to own the discovery-to-scale pipeline, designing data integration, storage systems and infrastructure that enable analytics and AI capabilities.

You will bridge the gap between building technical products and solving real-world business problems, guiding multiple teams to deliver rapid, scalable solutions with strong domain immersion.

Autonomy is expected as you define direction within strategic goals and drive measurable business impact.

Formación

• Bachelor's degree in Computer Science or Engineering with 8–12 years' experience.
• Experience designing and delivering scalable ETL/ELT data pipelines across enterprise data landscapes.
• Cloud expertise on AWS/Azure/GCP with IaC and end-to-end CI/CD for data solutions.
• Strong data modeling (conceptual, logical, physical) and schema migrations.
• AI/ML readiness and MLOps, plus building end-to-end data apps.
• Architectural leadership across multi-team projects.

Responsabilidades

• Design and build data integration, storage systems and infrastructure for analytics and AI.
• Lead across teams to deliver rapid solution delivery and domain immersion.
• Define direction within strategic goals and manage high complexity and ambiguity.

Conocimientos

Data engineering leadership

ETL/ELT design

Data modeling

SRE and SLOs/SLIs

Architectural thinking

AI/MLOps readiness

Full-stack data apps

Stakeholder communication

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

AWS

Azure

GCP

Terraform/CloudFormation

CI/CD pipelines

Descripción del empleo

Appnovation seeks a Senior Data Engineer to own the discovery-to-scale pipeline, designing data integration, storage systems and infrastructure that enable analytics and AI capabilities.

You will bridge the gap between building technical products and solving real-world business problems, guiding multiple teams to deliver rapid, scalable solutions with strong domain immersion.

Autonomy is expected as you define direction within strategic goals and drive measurable business impact.